WO2013145386A1 - Vein authentication system, vein authentication device and vein authentication method - Google Patents

Vein authentication system, vein authentication device and vein authentication method Download PDF

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Publication number
WO2013145386A1
WO2013145386A1 PCT/JP2012/075766 JP2012075766W WO2013145386A1 WO 2013145386 A1 WO2013145386 A1 WO 2013145386A1 JP 2012075766 W JP2012075766 W JP 2012075766W WO 2013145386 A1 WO2013145386 A1 WO 2013145386A1
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WIPO (PCT)
Prior art keywords
living body
finger
vein
guide
image data
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PCT/JP2012/075766
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French (fr)
Japanese (ja)
Inventor
厚志 加藤
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日立オムロンターミナルソリューションズ株式会社
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Publication of WO2013145386A1 publication Critical patent/WO2013145386A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40Spoof detection, e.g. liveness detection
    • G06V40/45Detection of the body part being alive
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/14Vascular patterns
    • G06V40/145Sensors therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/14Vascular patterns

Definitions

  • the present invention relates to a vein authentication system, a vein authentication device, and a vein authentication method.
  • a finger vein pattern irradiated by a light source is acquired as an image by a sensor, and a feature amount obtained by digitizing the characteristics of the finger vein pattern from the image (for example, position coordinates of branch points of a blood vessel pattern or Information such as branch direction). Then, the degree of inconsistency (distance value) between the extracted feature quantity and the feature quantity (template) registered as the person in advance is calculated, and if the distance value is equal to or less than a preset threshold value, the person is determined as the person. If the distance value is larger than a preset threshold value, the person is determined to be another person.
  • Such finger vein authentication devices are often used for identity authentication when cash is withdrawn from an automatic transaction device represented by ATM (Automated Teller Machine), or for office approval in corporations such as companies.
  • ATM Automatic Teller Machine
  • the result is important. Therefore, it is an important issue to prevent unauthorized personal authentication by malicious intent.
  • it is important to prevent unauthorized identity authentication using artificial fingers represented by hill climb attacks, and a function to determine whether an object placed on a finger vein authentication device is a living body or an artificial object. It can be said that it is essential to implement in a finger vein authentication device.
  • Patent Document 1 discloses a technology for strengthening personal authentication by acquiring a finger vein pattern by a special method.
  • the accuracy of personal authentication is improved by using a sweep type sensor and individually imaging finger vein patterns located at different depths using a plurality of different light sources, thereby preventing unauthorized personal authentication. ing.
  • An object of the present invention is to provide a vein authentication system, a vein authentication apparatus, and a vein authentication method that can correctly determine the authenticity of a finger using a vein of a living body.
  • the vein authentication system is preferably a vein authentication system that determines the authenticity of the living body using a living body vein, and a guide for placing the living body, and the living body placed on the guide
  • a sensor unit having an image sensor that acquires image data including a vein image of the first image data acquired by the image sensor in a first state before changing the degree of pressing of the living body against the guide; And determining whether or not the second image data acquired by the image sensor in a second state after changing the degree of pressing of the living body against the guide has a predetermined relationship, and based on this determination
  • a determination unit that determines whether or not the object placed on the guide is a living body.
  • the vein authentication device is preferably a vein authentication device that determines the authenticity of the living body using a vein of the living body, and is placed on the guide for placing the living body and the guide
  • a sensor unit having an image sensor that acquires image data including a vein image of the living body, and a first image acquired by the image sensor in a first state before the living body is pressed against the guide. It is determined whether or not the data and the second image data acquired by the image sensor in the second state after changing the degree of pressing of the living body against the guide have a predetermined relationship.
  • a determination unit that determines whether or not the object placed on the guide is a living body based on the living body, and a placement of the living body on the guide in the first state when the image sensor acquires the first image data.
  • Direction A first display for guiding is displayed on the display unit, and when the image sensor acquires the second image data, a second display for guiding a living body with respect to the guide in the second state is displayed. And a control unit to be displayed on the display unit
  • the present invention is a vein authentication method performed by the vein authentication system or the vein authentication apparatus.
  • a vein authentication system it is possible to provide a vein authentication system, a vein authentication apparatus, and a vein authentication method that can correctly determine the authenticity of a finger using a biological vein.
  • FIG. 1st Embodiment It is a figure which shows the structure of the vein authentication system in 1st Embodiment. It is a figure which shows the structural example of a finger vein authentication apparatus. It is sectional drawing of a sensor part. It is a figure which shows the structural example of information processing apparatus. It is a figure which shows the state (1st state) in which the finger
  • FIG. 1 is a diagram showing a configuration of a vein authentication system 1000 according to the present embodiment.
  • the vein authentication system 1000 includes a finger vein authentication device 100 and an information processing device 200, which are connected to each other via an external bus 300.
  • the finger vein authentication device 100 is a device that authenticates the user of the vein authentication system 1000 using the finger vein, and has a sensor unit 110 for the user to hold the finger.
  • the information processing apparatus 200 is a general computer such as a PC (Personal Computer), and is an apparatus that executes various processes accompanying authentication of the user of the vein authentication system 1000.
  • the finger vein authentication device 100 is connected to the information processing device 200 via the external bus 300.
  • a USB connected directly to the information processing device 200 without using the external bus 300
  • a (Universal Serial Bus) type device may be used.
  • the finger vein authentication device 100 will be described.
  • FIG. 2 is a diagram illustrating a configuration example of the finger vein authentication device 100.
  • a finger vein authentication device 100 includes a CPU (Central Processing Unit) 101, a peripheral device I / O port 102, and finger vein authentication illumination LEDs (Light Emitting Diodes, hereinafter simply referred to as LEDs).
  • a CPU Central Processing Unit
  • I / O port 102 peripheral device I / O port 102
  • finger vein authentication illumination LEDs Light Emitting Diodes, hereinafter simply referred to as LEDs
  • 103 an image sensor 104, a finger detection sensor 105, and a main storage device 106, which are connected to each other by an internal bus 107.
  • the CPU 101 is a processor responsible for data processing in the finger vein authentication device 100, and controls execution of various programs, which will be described later, and processing and control of various data.
  • the peripheral device I / O port 102 is an interface for connecting the finger vein authentication device 100 and the information processing device 200.
  • the finger vein authentication illumination LED 103 is a light source for acquiring image data of a finger vein pattern by irradiating light toward the finger. In the present embodiment, a near-infrared light LED suitable for acquiring a finger vein pattern is used.
  • the image sensor 104 is a sensor for acquiring image data of a finger vein pattern. For example, a finger vein pattern of a finger irradiated by the LED 103 is acquired as image data by a CCD (Charge Coupled Device) camera.
  • the finger detection sensor 105 is a sensor for detecting a finger placed on the sensor unit 110. For example, when a finger is placed on the sensor unit 110 by a touch sensor, the finger detection sensor 105 continues to detect the finger
  • the main storage device 106 is composed of, for example, a hard disk or memory, and stores various programs and various data for operating the finger vein authentication device 100. As shown in FIG. 2, the main storage device 106 stores a main device control program 1061, a peripheral device I / O control program 1062, an authentication program 1063, and a finger authenticity determination program 1064. The main storage device 106 also includes a first feature amount buffer 1065, a second feature amount buffer 1066, and an image buffer 1067.
  • the main device control program 1061 is a program for controlling the operation of the finger vein authentication device 100 as a whole.
  • the peripheral device I / O control program 1062 is a program for controlling the peripheral device I / O port 102.
  • the authentication program 1063 processes the finger vein pattern image data output from the image sensor 104 when the image sensor 104 captures transmitted light or reflected light obtained by irradiating the light of the LED 103 on the finger. This program authenticates the user himself / herself by vein.
  • the processing performed by the authentication program 1063 includes a feature amount (template) for extracting a feature amount (template) obtained by digitizing the feature (for example, the position coordinates and branch direction of the branch point of the blood vessel pattern) from the image data of the finger vein pattern. An extraction process is also included.
  • the finger authenticity determination program 1064 is a program for determining the authenticity of an object placed on the sensor unit 110, that is, whether the object is a living body or an artificial object.
  • the finger authenticity determination program 1064 accepts and confirms the authentication result of the user himself / herself by comparing the first feature amount buffer 1065 and the second feature amount buffer 1066 as materials for determining finger authenticity.
  • the first feature amount buffer 1065 is an area for storing a feature amount (first feature amount, specifically described later) obtained when the user naturally places his finger on the sensor unit 110. is there.
  • the second feature amount buffer 1066 is an area for storing a feature amount (second feature amount, specifically described later) obtained when the user strongly presses the finger against the sensor unit 110.
  • the image buffer 1067 is an area for storing finger vein pattern image data acquired by the image sensor 104.
  • each program performs a process by executing the process by the CPU 101 by executing a predetermined function.
  • These programs have, for example, a module configuration including the above-described functions.
  • the CPU 101 reads these programs from the main storage device 106 and executes them, whereby the above functions are stored on the main storage device 106.
  • the functions described above can be realized by being loaded.
  • Each program described above is an installable or executable file on a computer-readable recording medium such as a CD-ROM, flexible disk (FD), CD-R, DVD (Digital Versatile Disc). It is also possible to provide a record. Further, these software programs may be configured to be provided or distributed by being downloaded via a network. Next, returning to FIG. 1, the sensor unit 110 included in the finger vein authentication device 100 will be described.
  • FIG. 3 is a cross-sectional view of the sensor unit 110.
  • the sensor unit 110 is physically configured to include an LED 103, an image sensor 104, a finger detection sensor 105, a finger placement guide 1101, and a visible light cut filter 1102. Yes.
  • the LED 103, the image sensor 104, and the finger detection sensor 105 are the same as those shown in FIG. 2, but the LED 103 acquires a finger vein pattern for the finger F detected by the finger detection sensor 105. Therefore, the image sensor 104 acquires image data of the vein pattern inside the finger F.
  • the finger placement guide 1101 is a guide for stabilizing the position of the user's finger F and keeping the distance between the finger F and the image sensor 104 constant.
  • the finger placement guide 1101 includes a tip finger placement guide for stably supporting the position of the tip portion of the finger F and a root finger placement for stably supporting the position of the root portion of the finger F. It consists of a guide.
  • the gap A is formed on the lower side of the finger F. By providing the gap A, blood flow inside the finger F can be secured, and a clear finger vein image can be obtained. Then, the image data described above is acquired in a state where the finger F is placed on each guide of the sensor unit 110 in this way.
  • the visible light cut filter 1102 is a filter that transmits only near-infrared light emitted from the LED 103.
  • the image sensor 104 can acquire image data of a clearer vein pattern inside the finger F.
  • the angle of view r1 and r2 of the image sensor 104 is set at an angle that allows the entire region R of the visible light cut filter 1102 to be captured, and the vein pattern acquisition target inside the finger F placed on the finger placement unit 1101 Is set to maximize the range.
  • the LED 103 is located above the finger F, but it is not necessarily required to be located above. As long as it is a position where the finger F can be efficiently irradiated, for example, the finger F may be embedded in the finger placement guide 302 and may be irradiated from below.
  • FIG. 4 is a diagram illustrating a configuration example of the information processing apparatus 200.
  • the information processing apparatus 200 includes a CPU 201, a peripheral device I / O port 202, a display device 203, a key input device 204, and a main storage device 205, and these are internal buses. 206 is connected.
  • the CPU 201 is a processor that is responsible for data processing of the entire vein authentication system 1000, and controls execution of various programs, which will be described later, and processing and control of various data.
  • the peripheral device I / O port 202 is an interface for connecting the information processing device 200 and the finger vein authentication device 100.
  • the display device 203 is, for example, an LCD (Liquid Crystal Display), and the result of user authentication (for example, status indicating whether the user is authenticated or the other person) or finger Guidance on placement, etc., or results of identity authentication and finger authentication are displayed to the user.
  • the key input device 204 is, for example, a keyboard, and receives input of information such as an ID (IDentifier) and a password for using the vein authentication system 1000 from a user.
  • the display device 203 displays the above-described guidance.
  • a display unit may be provided in the finger vein authentication device 100 (for example, the visible light cut filter 1102), and the guidance may be displayed on the display unit. Is possible.
  • the main storage device 205 is composed of, for example, a hard disk, and stores various programs for operating the information processing device 200 and the vein authentication system 1000. As shown in FIG. 4, the main storage device 205 stores a finger vein authentication device control program 2051, a peripheral device I / O control program 2052, and a guidance display program 2053.
  • the finger vein authentication device control program 2051 is a program for controlling the finger vein authentication device 100 connected via the peripheral device I / O port 202.
  • the peripheral device I / O control program 2052 is a program for controlling the peripheral device I / O port 202.
  • the guidance display program 2053 displays finger placement guidance or the like on the display device 203
  • the finger authenticity determination program 1054 of the finger vein authentication device 100 determines that the object placed on the sensor unit 110 is an artificial object.
  • this is a program for displaying the information (authentication result such as an artifact or a living finger) on the display device 203.
  • FIG. 5 is a diagram illustrating a state where the finger F is naturally placed on the finger placement guide 1101 (first state).
  • the state of being placed naturally means a state in which the user naturally places the finger F on the finger placement guide 1101 without consciously applying force, that is, the user strongly presses the finger F.
  • the state of being placed with natural pressure pressure due to the weight of the finger
  • the blood flow of the finger F is sufficiently secured by the gap A, so that the image sensor 104 can acquire the image data I of the finger vein pattern without unevenness (FIG. 5B).
  • FIG. 6 is a diagram illustrating a state where the finger F is strongly pressed against the finger placement guide 1101 (second state).
  • the strongly pressed state is a state other than the above-described first state, that is, a state where the user is consciously pressing the finger F against the finger placement guide 1101, or a case where the user is not conscious.
  • this includes a state in which the finger F is pressed by some external force and pressure is applied (FIG. 6A).
  • FIG. 6A When the finger F is strongly pressed against the finger placement guide 1101, blood flow in a portion of the finger F that is in contact with these guides is inhibited.
  • past experiments have shown that blood flow is inhibited not only in the vicinity area f1 of the finger placement guide 1101 on the fingertip side. Therefore, also in the finger vein pattern image data I acquired by the image sensor 104, the finger vein pattern disappears in the vicinity area f1 of the finger placement guide 1101 on the fingertip side (FIG. 6B).
  • the first state is a state where the finger is placed naturally
  • the second state is a state where the finger is strongly pressed.
  • the point that the state of the internal blood flow changes and, as a result, the finger vein pattern imaged by the image sensor 104 also changes is regarded as a feature of the living body. Therefore, it is only necessary that the finger pressing pressure change to such an extent that authenticity can be determined between the first state and the second state.
  • the inventor of the present invention in the finger vein authentication device 100, the finger vein pattern image data when the finger F is unconsciously placed on the finger placement guide 1101, and the finger vein pattern when the finger F is strongly pressed And the difference of the finger vein in the neighboring area f1 (for example, the disappearance of the finger vein) or the difference in the common condition with the image data of the finger vein pattern in the area f2 other than the neighboring area f1.
  • the difference of the finger vein in the neighboring area f1 for example, the disappearance of the finger vein
  • FIG. 7 is a flowchart showing a processing procedure of the above-described personal authentication processing operation (finger vein authentication processing).
  • the CPU 201 of the information processing device 200 executes the finger vein authentication device control program 2051 and transmits a finger vein authentication processing activation signal to the finger vein authentication device 100 (step S701).
  • the finger vein authentication device 100 activates the CPU 101 in response to the received activation signal and executes the programs 1061 to 1064.
  • FIG. 8 is a diagram illustrating an example of guidance (first guidance) that prompts the user to place a finger in the first state. As shown in FIG. 8, in the first guidance, a message that prompts the user to place the finger in a natural state and an image thereof are displayed.
  • the finger detection sensor 105 of the finger vein authentication device 100 detects this, and the CPU 101 executes the authentication program 1063 to control the LED 103 and the image sensor 104 to control the finger.
  • the vein image data is acquired, and a first feature amount is extracted from the acquired image data (step S703).
  • the authentication program 1063 stores the extracted first feature quantity in the first feature quantity buffer 1065 (step S704).
  • the subsequent processing is performed to acquire the second feature amount.
  • the reason is that when the second feature amount is acquired first, it is considered that the user often cannot determine how much force the user should place on the sensor unit 110. By operating in this order, the user does not need to worry about how much force is applied, so that the operability of finger authenticity determination can be improved. Therefore, when it is not necessary to use such an operation sequence with particular attention, it is of course possible to acquire the first feature amount after acquiring the second feature amount.
  • the authentication program 1063 compares the template registered in advance in the information processing apparatus 200 as the principal with the first feature amount, and determines whether or not it is the principal by obtaining the degree of mismatch (distance value). Authentication processing is executed (step S705), and whether or not the user is the user is determined based on the authentication result (step S706).
  • step S706 determines that the user is not the user (step S706; No), that is, if the distance value exceeds a preset threshold, the authentication program 1063 determines that the user is not the user. The rejection of the vein authentication process is terminated.
  • the authentication program 1063 determines that the user is the user himself / herself based on the authentication result (step S706; Yes), that is, if the distance value is equal to or smaller than a preset threshold value, the authentication program 1063 proceeds to the subsequent process. Since the subsequent processing is performed only when the user is authenticated as described above, the authenticity of the finger of the user who is not the user is not erroneously determined, and the authenticity of the user's finger is reliably determined. can do.
  • the authentication program 1063 determines whether or not the finger detection unit 105 continues to detect the finger in order to confirm that the finger has not been replaced (step S707), and the finger detection unit 105 detects the finger. If it is determined that it has not been continued (step S707; No), it is determined that the finger has been removed from the guide 1101, and the finger vein authentication process is terminated.
  • the authentication program 1063 determines that the finger detection unit 105 continues to detect the finger (step S707; Yes)
  • the authentication program 1063 determines that the finger is not separated from the guide 1101 and has not been replaced, and the information processing apparatus
  • the CPU 201 of 200 executes the guidance display program 2053, and causes the display device 203 to display a guidance prompting the sensor unit 110 of the finger vein authentication device 100 to strongly press the finger in the second state (step S708).
  • FIG. 9 is a diagram illustrating an example of guidance that prompts the user to strongly press the finger in the second state. As shown in FIG. 9, the second guidance displays a message that prompts the user to place the finger in a state where the finger is strongly pressed, and an image thereof.
  • the CPU 101 executes the authentication program 1063, controls the LED 103 and the image sensor 104 to acquire finger vein image data, and obtains a second feature amount from the acquired finger vein image data. Is extracted (step S709). Then, the authentication program 1063 stores the extracted second feature quantity in the second feature quantity buffer 1066 (step S710).
  • the authentication program 1063 extracts the second feature amount in step S709.
  • the authentication program 1063 is included in the image data in order to determine whether the object placed on the sensor unit 110 is a living finger or an artificial finger, and to extract each feature amount more accurately. Only a clearer portion of the finger vein pattern is extracted as the second feature amount.
  • FIG. 10 is an image diagram when the authentication program 1063 extracts only a clearer portion from the finger vein pattern included in the image data.
  • the authentication program 1063 determines a starting point coordinate P in the image data I in order to extract only the target region D that is a clear portion of the finger vein pattern from the image data I.
  • a rectangular area having a coordinate P as one vertex is specified as the target area D.
  • the target region D is a portion closer to the base of the finger in the image data I.
  • the authentication program 1063 uses the above-described starting point coordinates P, for example, in the root direction side of the finger with respect to the reference axis X1 that is determined in advance as a position in the image data I where blood flow inhibition is unlikely to occur (FIG. 10).
  • the right side is determined.
  • the reference axis X1 is the range of the vicinity area f1 of the finger placement guide 1101 on the fingertip side where the blood flow is hindered and the finger vein pattern is likely to disappear (or what is this)?
  • it is determined in advance so as to coincide with the other area f2) (that is, to be a boundary between these areas).
  • the reference axis X1 is set as a reference axis X1 on one side of the base side of the range, assuming that a certain range from the finger placement guide 1101 on the fingertip side to the base area of the finger can be the above-described neighborhood area f1. Then, if the starting point coordinate P is closer to the fingertip side than the reference axis X1, the authentication program 1063 determines that the vein itself is an artificial finger that cannot be confirmed in the first place, terminates the finger vein authentication process, Prevent unwanted access.
  • the authentication program 1063 sets the reference axis X1 and the origin coordinate point P, extracts only the target region D described above, and ignores the other portions as noise, thereby clearing the target of the finger vein pattern. Only the region D can be extracted as the second feature amount.
  • the above-described width is set so that the area of the target region D is further reduced.
  • the w1 and the width w2 may be determined. However, since it is necessary to ensure a certain authentication accuracy, it is desirable that the target region D satisfies a predetermined reference area. If the target area D is less than a predetermined reference area, the authentication program 1063 may end the finger vein authentication process by rejection.
  • the range of the reference axis X1 and the target region D is described as being predetermined, but the situation where the finger vein authentication device 100 is used (for example, in a low temperature environment).
  • the finger vein pattern may fade or disappear when placed with the finger pressed hard. It is also assumed that the range of the vicinity area f1 in which the occurrence of the phenomenon can occur further expands to the finger base side.
  • the starting point coordinates P determined by the authentication program 1063 do not coincide with the vertices of the clear target area D of the finger vein pattern, and the position of the finger vein pattern is blurred or lost. It is also conceivable that it falls within the range of the neighboring area f1 that can occur.
  • the authentication program 1063 uses the reference axis X1 set at that time as a reference, the pixel value of the blood flow appearing in the fingertip direction in the image data I, and the image data I If there is no difference above a certain level between the pixel values of blood flow appearing in the direction of the root of the finger, as shown in FIG. Until then, the position may be reset so that the reference axis X1 is moved in the finger base direction.
  • the authentication program 1063 correctly determines the starting point coordinates P for extracting only the clear target region D of the finger vein pattern. Can do. However, in this case, if the target area D specified after the reference axis X1 is reset is less than the predetermined reference area, the authentication program 1063 is originally a vein as in the case described above. It is determined that the finger is an artificial finger that cannot be confirmed, and the finger vein authentication processing is rejected and unauthorized access is prevented.
  • step S710 When the process of step S710 is completed and the second feature value is stored in the second feature value buffer 1066, the CPU 101 executes the finger authenticity determination program 1064 so that the starting point coordinate P is higher than the reference axis X1. Is determined, that is, whether the target area D is in a predetermined range that is closer to the base of the finger than the reference axis X1 (step S711), and the target area D is higher than the reference axis X1. When it is determined that it is not within the predetermined range on the finger base side (step S711; No), as shown in FIG.
  • the finger vein pattern in the vicinity area f1 that should have occurred if it is a living finger is blurred, Alternatively, it is determined that there is no disappearance, the object placed on the sensor unit 110 is regarded as an artificial finger, and the finger vein authentication process is terminated.
  • the finger authenticity determination program 1064 determines that the target area D is within a predetermined range that is closer to the root of the finger than the reference axis X1 (step S711; Yes)
  • the first feature extracted by the authentication program 1063 The position where the amount and the second feature amount coincide with each other is checked, and the coordinate position is obtained (step S712).
  • a procedure in which the finger authenticity determination program 1064 examines a position where the first feature quantity and the second feature quantity match and acquires the coordinate position (feature quantity code procedure) will be described.
  • the finger authenticity determination program 1064 only includes the first feature amount and the second feature only when the target region D is in a predetermined range that is closer to the base of the finger than the reference axis X1, that is, only when the target region is not an artificial finger. Since the position where the amount matches is checked, the finger vein authentication process can be performed more simply without wastefully performing the process of step S712 when the finger is an artificial finger.
  • FIG. 13 is an image diagram illustrating an example of a feature amount code procedure performed by the finger authenticity determination program 1064.
  • the finger authenticity determination program 1064 includes the first feature amount (image data I in the example illustrated in FIG. 13) acquired by the authentication program 1063 in step S703 and the second feature extracted in step S709. The amount (the target region D in the example shown in FIG. 13) is overlapped, and the target region D is moved little by little in an arbitrary direction on the image data I (FIG. 13 (a)). Then, the finger authenticity determination program 1064 specifies the position where the feature amount (distance value) of both is the highest and the specified position is equal to or greater than a preset threshold value in order to ensure a certain authentication accuracy. In the case, the position (code position) is acquired.
  • the finger authenticity determination program 1064 determines whether or not the code position has been acquired (step S713). If it is determined that the code position cannot be acquired (step S713; No), the finger authenticity determination program 1064 is placed on the sensor unit 110. The object is regarded as an artificial finger and the finger vein authentication process is terminated.
  • the finger authenticity determination program 1064 determines that the code position has been acquired (step S713; Yes)
  • the finger authenticity determination program 1064 determines that the first feature value and the second feature value match, and further the target at the code position. Whether the coordinates of the vertex Q corresponding to the starting point coordinate P among the vertices of the region D are located closer to the root of the finger than the reference axis X1 (FIG. 13B), that is, the target region D after the sign is the reference It is determined whether or not it is in a predetermined range that is closer to the base of the finger than the axis X1 (step S714).
  • the finger authenticity determination program 1064 determines that the target area D is not within a predetermined range that is closer to the root of the finger than the reference axis X1 (step S714; No), the first feature amount and the second feature Since there is no commonality with the amount, it is considered that the finger has been replaced between the extraction of the first feature amount and the extraction of the second feature amount (steps S703 to S712), and the finger vein authentication processing is performed. End rejection.
  • step S714 when the finger authenticity determination program 1064 determines that the target area D is within a predetermined range on the finger base side with respect to the reference axis X1 (step S714; Yes), the object placed on the sensor unit 110 is a living body. Assuming that it is a finger, it is determined that the authentication result in step S705 is that of the user, and the authentication result is accepted and confirmed (step S715). As described above, since the finger authenticity determination program 1064 determines the authenticity of the finger and accepts and confirms the authentication result, the person can be reliably authenticated. When the process of step S715 is completed, all processes of the finger vein authentication process shown in FIG. 7 are completed.
  • the finger vein image when the finger is placed on the sensor unit 110 of the finger vein authentication device 100 in a natural state, and the finger vein image when the finger is placed with the finger pressed strongly are used to determine the authenticity of the finger. Since the state of blood flow inside the finger changes depending on the pressure of the finger, the change in the finger vein pattern to be imaged is regarded as one of the features of the living body. By using this as a clue for determining the authenticity of the finger, it is possible to correctly determine the authenticity of the finger with high accuracy. If the object is determined to be an artifact, authentication can be rejected to prevent unauthorized access.
  • vein authentication system 1000 it is also possible to apply the vein authentication system 1000 to, for example, an automatic cash handling apparatus (ATM: Automated Teller Machine).
  • ATM Automated Teller Machine
  • a part or all of the functions executed by the finger vein authentication device 100 and the information processing device 200 shown in FIG. 1 are a processor provided in the main control unit of the ATM or a processor for user authentication processing. It is realized by.
  • the authentication program 1063 performs authentication processing in steps S705 and S706 before a series of processing (steps S708 to S714) when the finger is strongly pressed, and determines that the user is the user himself / herself. ing. This is based on a rational judgment for efficiently determining the authenticity of the finger in the subsequent process only when the user is regarded as the user himself / herself, but this authentication process itself is not necessarily performed at that timing. For example, it may be performed after the finger authenticity determination process (between steps S714 and S715).
  • the authentication program 1063 performs a binary determination of “I am the person” or “I am not the person” depending on whether or not the distance value exceeds a preset threshold value in Step S706 of FIG.
  • this determination is not necessarily binary.
  • the threshold is set in two stages, and determination is made based on three values of “I am the person”, “Judgment pending”, and “I am not the person”, and “Judgment pending” Only when the determination is made, the subsequent finger authenticity determination process may be performed. In this case, the person can be more reliably authenticated.
  • the authentication program 1063 may display the guidance in step S708 of FIG. 7 and the user presses the finger strongly, and the finger vein pattern of the entire finger may disappear if the pressing force is too strong. Conceivable. If the authentication program 1063 determines that the pressure from the finger detected by the finger detection unit 105 is stronger (larger) than a certain value, the finger vein pattern of the entire finger may disappear in step S709.
  • the CPU 201 of the information processing apparatus 200 executes the guidance display program 2053 and displays guidance prompting to weaken the pressure of the finger strongly pressed against the sensor unit 110 of the finger vein authentication apparatus 100 as shown in FIG. It may be displayed on the device 203. Even if the user does not know how the finger pressing force is adjusted, the user can place the finger on the sensor unit 110 with an appropriate strength, and prevent repeated unnecessary operations such as repositioning the finger with a strong force. Can do.
  • the authentication program 1063 sets the starting point coordinate P in the image data I according to the position of the reference axis X1 when extracting the second feature amount, and the target area D is determined in advance. If it is less than the reference area, it is determined that the finger itself is an artificial finger for which the vein itself cannot be confirmed, and the finger vein authentication process is terminated.
  • a reference axis that is different from the reference axis X ⁇ b> 1 and has a certain area or more that is the lower limit of the target area D is used.
  • the sensor unit 110 of the finger vein authentication device 100 is provided with the finger placement guide 1101 on the fingertip side and the finger base side.
  • a finger placement guide 1101 may be provided on the side of the finger. That is, the finger placement guide 1101 may be provided around the finger. In this case, the finger vein pattern disappears or fades in the portion closer to the peripheral side of the finger in contact with the finger placement guide 1101.
  • FIG. 16 is a diagram illustrating a state in which the finger F is placed on the finger placement guide 1101 in the first state when the finger placement guide 1101 is provided on the side surface side of the finger (FIG. 16A). ).
  • the image sensor 104 can acquire the finger vein pattern image data I without unevenness (FIG. 16B).
  • FIG. 17 is a diagram illustrating a state where the finger F is placed on the finger placement guide 1101 in the second state when the finger placement guide 1101 is provided on the side surface of the finger (FIG. 17 ( a)).
  • the finger F is strongly pressed against the finger placement guide 1101, blood flow in the portion of the finger F that is in contact with these guides is inhibited, but the finger placement guide 1101 is provided on the side of the finger,
  • the finger vein pattern disappears in the adjacent areas f1a and f1b on the side surface side of the finger F (FIG. 17B). Therefore, in this case, as in the case illustrated in FIG.
  • the authentication program 1063 is, for example, as a position where blood flow inhibition is unlikely to occur in the finger width direction, as in the reference axis X1.
  • a predetermined reference axis may be provided, the starting point coordinate P described above may be determined to be inside the reference axis (inside the finger), and only the target region D may be extracted.
  • FIG. 18 is a flowchart showing a processing procedure of a personal authentication processing operation (finger vein authentication processing) according to another embodiment. Note that the processes in steps S1801 to S1810 shown in FIG. 18 are the same as the processes in steps S701 to S710 shown in FIG. 7, and thus description thereof is omitted here.
  • step S1810 when the authentication program 1063 stores the extracted second feature value in the second feature value buffer 1066, the CPU 101 executes the finger authenticity determination program 1064, which is the same as in step S705 shown in FIG.
  • the registered template is divided and the degree of coincidence between the two is determined.
  • a template division authentication process for determination is performed (step S1811).
  • the reason for dividing the template is that when the user strongly presses the finger against the sensor unit 110 when the second feature amount is extracted, the vein pattern is deformed and crushed to obtain a certain authentication accuracy. This is because it may not be possible. A certain authentication accuracy can be ensured by dividing the template in this way and matching the divided template and image data for each piece.
  • FIG. 19 is a diagram illustrating an example in which the finger authenticity determination program 1064 divides a template registered in advance as a principal.
  • the authentication program 1063 divides the template T into a template T1 on the fingertip side, a template T2 on the finger base side, and an intermediate template T3 between the templates T1 and T2.
  • the finger authenticity determination program 1064 superimposes these divided templates on the portion corresponding to the position of each template in the extracted second feature amount, respectively. Find the distance value.
  • the finger authenticity determination program 1064 includes each of these divided templates and the image data I acquired before the authentication program 1063 extracts the second feature amount in step S1809. Are compared with the portion of the image data I corresponding to the position of each template.
  • the finger vein pattern at the fingertip is blurred or disappears. ing. Accordingly, the distance value between the template T1 on the fingertip side and the portion corresponding to the template T1 in the image data I is larger than the distance value between the templates T2 and T3 and the portion of the image data I corresponding to these templates.
  • the distance value between each template and the portion corresponding to each template in the image data I is obtained.
  • the finger authenticity determination program 1064 determines the authenticity of the finger by using the difference between the distance values and determining whether or not the distance values of the divided templates T1 to T3 satisfy a preset threshold value. (Step S1812). Specifically, the finger authenticity determination program 1064 determines that the object placed on the sensor unit 110 is a living body when the distance value of the template T1 is greater than or equal to the threshold value and the distance values of the templates T2 and T3 are less than the threshold value. It is determined that it is a finger (that is, true), and otherwise it is determined that it is not a living finger (that is, it is a heel).
  • the finger authenticity determination program 1064 determines that the object placed on the sensor unit 110 is a living finger, the object placed on the sensor unit 110 is regarded as a living finger, and the authentication result in step S1805 is obtained. It is determined that the user is the original one, and the authentication result is accepted and confirmed (step S1813). On the other hand, if the finger authenticity determination program 1064 determines that the object placed on the sensor unit 110 is not a living finger, the finger vein authentication process is terminated. When the process of step S1813 is completed, all the finger vein authentication processes shown in FIG. 18 are completed.
  • the pre-registered template T has been described on the assumption that it is divided into three.
  • the template T may be finely divided in a grid pattern such as dividing into four in the finger direction and dividing into two in the width direction. In this case, higher authentication accuracy can be ensured.
  • the finger authenticity determination program 1064 uses the image data I as each comparison target of the divided templates, but the second feature extracted in step S1809. An amount may be used. Since the clear target region D of the finger vein pattern is extracted as the second feature amount, in this case, the finger authenticity determination program 1064 compares the divided templates T2 and T3 with the image data I, and A distance value between the template and the corresponding portion of the image data I is obtained. As described above, by using the second feature amount as a comparison target for each of the divided templates, the number of templates to be compared can be reduced and prompt authentication can be performed.
  • the vein authentication system 1000 is applied to a living finger.
  • the present invention can be applied not only to a living finger but also to a palm.
  • a palm vein authentication device having a sensor unit having the same function as the sensor unit 110 and having a size that allows a palm to be placed.
  • a palm guide similar to the finger placement guide 1101 provided in the sensor unit is provided and the palm is strongly pressed against the palm guide, a vein similar to that shown in FIG. The pattern will be blurred or lost. Therefore, a portion including a faint or disappeared vein pattern generated on the peripheral side of the palm (portion similar to the vicinity area f1 as shown in FIG.
  • a reference axis similar to the reference axis X1 is provided, a coordinate similar to the starting point coordinate P is determined, and the first feature quantity and the second feature quantity are extracted and similar to the finger vein authentication processing described above. Processing can be performed.
  • the present invention authenticates the person after determining whether an object placed using a vein is a living body or an artificial object. It is also possible to authenticate the person using a living body of various parts having veins other than the palm. Further, the present invention is not limited to the above-described embodiment as it is, and it is of course possible to combine a plurality of methods disclosed in the above-described embodiment as appropriate.
  • vein authentication system 100 finger vein authentication device 101 CPU (finger vein authentication device) 102 Peripheral device I / O port (finger vein authentication device) 103 Illumination LED for finger vein authentication 104 Image sensor 105 Finger detection sensor 106 Main memory (finger vein authentication device) 1061 Main unit control program 1062 Peripheral device I / O control program (finger vein authentication device) 1063 Authentication program 1064 Finger authenticity determination program 1065 First feature value buffer 1066 Second feature value buffer 1067 Image buffer 107 Internal bus (finger vein authentication device) 200 Information Processing Device 201 CPU (Information Processing Device) 202 Peripheral device I / O port (information processing device) 203 Display Device 204 Key Input Device 205 Main Storage Device (Information Processing Device) 2051 Finger vein authentication device control program 2052 Peripheral device I / O control program (information processing device) 2053 Guidance display program 206 Internal bus (information processing device) 300 External bus.

Abstract

Provided are a vein authentication system and a vein authentication method that are capable of correctly assessing the authenticity of a finger by using a vein of a living body. The invention is the vein authentication system, which correctly assesses the authenticity of the finger by using the vein of the living body, said vein authentication system being provided with a sensor unit and an assessment unit. Said sensor unit comprises: a guide for placing the living body; and an image sensor that acquires image data containing an image of the vein of the living body placed in the guide. Said assessment unit judges whether or not a first image data item and a second image data item are in a specified relationship, and on the basis of this judgment, assesses whether an object placed in the guide is the living body. Said first image data item is acquired by the image sensor in a first state, which is a state before the condition of pressure applied to the guide by the living body is changed. Said second image data item is acquired by the image sensor in a second state, which is a state after the condition of the pressure applied to the guide by the living body is changed.

Description

静脈認証システム、静脈認証装置および静脈認証方法Vein authentication system, vein authentication apparatus and vein authentication method
 本発明は、静脈認証システム、静脈認証装置および静脈認証方法に関するものである。 The present invention relates to a vein authentication system, a vein authentication device, and a vein authentication method.
 従来から、指紋や指静脈パターン等の生体情報を用いて本人を認証する装置が実用化されている。例えば、指静脈認証装置では、光源により照射された指静脈パターンをセンサにより画像として取得し、その画像から指静脈パターンの特徴を数値化した特徴量(例えば、血管パターンの分岐点の位置座標や分岐方向などの情報)を抽出する。そして、抽出された特徴量と、あらかじめ本人として登録された特徴量(テンプレート)との不一致度合い(距離値)を計算し、その距離値があらかじめ設定された閾値以下であれば本人と判定する一方、その距離値があらかじめ設定された閾値より大きければ他人と判定する。 Conventionally, an apparatus for authenticating an individual using biometric information such as a fingerprint or a finger vein pattern has been put into practical use. For example, in a finger vein authentication device, a finger vein pattern irradiated by a light source is acquired as an image by a sensor, and a feature amount obtained by digitizing the characteristics of the finger vein pattern from the image (for example, position coordinates of branch points of a blood vessel pattern or Information such as branch direction). Then, the degree of inconsistency (distance value) between the extracted feature quantity and the feature quantity (template) registered as the person in advance is calculated, and if the distance value is equal to or less than a preset threshold value, the person is determined as the person. If the distance value is larger than a preset threshold value, the person is determined to be another person.
 このような指静脈認証装置は、ATM(Automated Teller Machine)に代表される自動取引装置から現金を引き出す際における本人認証、あるいは企業等の法人における役席承認等に使われることが多く、その認証結果が重要な意味を持つ。そのため、悪意による不正な本人認証を防止することが重要な課題となる。とりわけ、ヒルクライム攻撃に代表される人工指を使用した不正な本人認証を防止することは重要であり、指静脈認証装置に置かれた物体が生体であるか人工物であるかを判定する機能を指静脈認証装置に実装することは必須と言える。 Such finger vein authentication devices are often used for identity authentication when cash is withdrawn from an automatic transaction device represented by ATM (Automated Teller Machine), or for office approval in corporations such as companies. The result is important. Therefore, it is an important issue to prevent unauthorized personal authentication by malicious intent. In particular, it is important to prevent unauthorized identity authentication using artificial fingers represented by hill climb attacks, and a function to determine whether an object placed on a finger vein authentication device is a living body or an artificial object. It can be said that it is essential to implement in a finger vein authentication device.
 この種の関連技術として、例えば、特許文献1には、指静脈パターンを特殊な方法で取得することにより、本人認証を強化する技術が開示されている。この特許文献1では、スイープ型センサを使用し、複数の異なる光源を用いて異なる深さに位置する指静脈パターンを個々に撮像することによって本人認証の精度を高め、不正な本人認証を防止している。 As this type of related technology, for example, Patent Document 1 discloses a technology for strengthening personal authentication by acquiring a finger vein pattern by a special method. In this Patent Document 1, the accuracy of personal authentication is improved by using a sweep type sensor and individually imaging finger vein patterns located at different depths using a plurality of different light sources, thereby preventing unauthorized personal authentication. ing.
特開2006-285487号公報JP 2006-285487 A
 例えば、利用者が銀行の窓口に設置された指静脈認証装置を操作する場合には、係員がその操作をサポートし、そのサポートの際に併せて係員が利用者の指を確認してその真贋を判定することが出来るため、上述した特許文献1に記載の指静脈認証装置を用いて不正な本人認証を防止できる。 For example, when a user operates a finger vein authentication device installed at a bank window, an attendant supports the operation, and the attendant confirms the user's finger at the time of the support and authenticates the user. Therefore, unauthorized personal authentication can be prevented using the finger vein authentication device described in Patent Document 1 described above.
 ところが、無人で稼働しているATM等、係員がいない場所に設置されている指静脈認証装置の場合には、利用者が悪意をもって不正に認証を通過しようとする恐れがある。悪意をもった利用者は、一般に使用する手口として本人と似せた人工指を用意し、その人工指を指認証装置に置いて認証を通過しようとする場合がある。このため、たとえ特許文献1に開示された技術を用いて本人認証の精度を高めても、そもそも指静脈のない人工指に対しては指の真贋を判定することが出来ないため、現金の不正引き出し等の被害につながってしまう恐れがある。すなわち、単に指静脈パターンによる本人認証の精度を高めただけでは指の真贋を正しく判定することができず、その結果、不正な本人認証を防止することができなくなってしまう場合がある。 However, in the case of a finger vein authentication device installed in a place where there is no attendant, such as an ATM operating unattended, there is a risk that the user may maliciously pass authentication. In some cases, a malicious user prepares an artificial finger that resembles the person himself as a commonly used technique, and places the artificial finger on a finger authentication device to attempt authentication. For this reason, even if the accuracy of personal authentication is increased using the technique disclosed in Patent Document 1, since it is impossible to determine the authenticity of a finger for an artificial finger without a finger vein, There is a risk of leading to damage such as drawers. That is, simply increasing the accuracy of personal authentication using a finger vein pattern cannot correctly determine the authenticity of a finger, and as a result, it may not be possible to prevent unauthorized personal authentication.
 本発明は、生体の静脈を用いて指の真贋を正しく判定することができる静脈認証システム、静脈認証装置および静脈認証方法を提供することを目的とする。 An object of the present invention is to provide a vein authentication system, a vein authentication apparatus, and a vein authentication method that can correctly determine the authenticity of a finger using a vein of a living body.
 本発明にかかる静脈認証システムは、好ましくは、生体の静脈を用いて前記生体の真贋を判定する静脈認証システムであって、前記生体を置かせるためのガイドと、前記ガイドに置かれた前記生体の静脈画像を含む画像データを取得する画像センサとを有したセンサ部と、前記ガイドへの前記生体の押し付け具合を変える前の第1の状態で前記画像センサが取得した第1の画像データと、前記ガイドへの前記生体の押し付け具合を変えた後の第2の状態で前記画像センサが取得した第2の画像データとが所定の関係にあるか否かを判断し、この判断に基づいて前記ガイドに置かれた物体が生体であるか否かを判定する判定部と、を備えることを特徴とする。 The vein authentication system according to the present invention is preferably a vein authentication system that determines the authenticity of the living body using a living body vein, and a guide for placing the living body, and the living body placed on the guide A sensor unit having an image sensor that acquires image data including a vein image of the first image data acquired by the image sensor in a first state before changing the degree of pressing of the living body against the guide; And determining whether or not the second image data acquired by the image sensor in a second state after changing the degree of pressing of the living body against the guide has a predetermined relationship, and based on this determination A determination unit that determines whether or not the object placed on the guide is a living body.
 また、本発明にかかる静脈認証装置は、好ましくは、生体の静脈を用いて前記生体の真贋を判定する静脈認証装置であって、前記生体を置かせるためのガイドと、前記ガイドに置かれた前記生体の静脈画像を含む画像データを取得する画像センサとを有したセンサ部と、前記ガイドへの前記生体の押し付け具合を変える前の第1の状態で前記画像センサが取得した第1の画像データと、前記ガイドへの前記生体の押し付け具合を変えた後の第2の状態で前記画像センサが取得した第2の画像データとが所定の関係にあるか否かを判断し、この判断に基づいて前記ガイドに置かれた物体が生体であるか否かを判定する判定部と、前記画像センサが前記第1の画像データを取得する際に前記第1の状態における前記ガイドに対する生体の置き方を案内する第1の表示を前記表示部に表示させ、前記画像センサが前記第2の画像データを取得する際に前記第2の状態における前記ガイドに対する生体の置き方を案内する第2の表示を前記表示部に表示させる制御部と、を備えることを特徴とする。 The vein authentication device according to the present invention is preferably a vein authentication device that determines the authenticity of the living body using a vein of the living body, and is placed on the guide for placing the living body and the guide A sensor unit having an image sensor that acquires image data including a vein image of the living body, and a first image acquired by the image sensor in a first state before the living body is pressed against the guide. It is determined whether or not the data and the second image data acquired by the image sensor in the second state after changing the degree of pressing of the living body against the guide have a predetermined relationship. A determination unit that determines whether or not the object placed on the guide is a living body based on the living body, and a placement of the living body on the guide in the first state when the image sensor acquires the first image data. Direction A first display for guiding is displayed on the display unit, and when the image sensor acquires the second image data, a second display for guiding a living body with respect to the guide in the second state is displayed. And a control unit to be displayed on the display unit.
 また、本発明は、上記静脈認証システムまたは上記静脈認証装置で行われる静脈認証方法である。 Further, the present invention is a vein authentication method performed by the vein authentication system or the vein authentication apparatus.
 本発明によれば、生体の静脈を用いて指の真贋を正しく判定することができる静脈認証システム、静脈認証装置および静脈認証方法を提供することができる。 According to the present invention, it is possible to provide a vein authentication system, a vein authentication apparatus, and a vein authentication method that can correctly determine the authenticity of a finger using a biological vein.
第1の実施の形態における静脈認証システムの構成を示す図である。It is a figure which shows the structure of the vein authentication system in 1st Embodiment. 指静脈認証装置の構成例を示す図である。It is a figure which shows the structural example of a finger vein authentication apparatus. センサ部の断面図である。It is sectional drawing of a sensor part. 情報処理装置の構成例を示す図である。It is a figure which shows the structural example of information processing apparatus. 指が指置きガイドに自然に置かれている状態(第1の状態)を示す図である。It is a figure which shows the state (1st state) in which the finger | toe is naturally placed on the finger placement guide. 指が指置きガイドに強く押しつけられている状態(第2の状態)を示す図である。It is a figure which shows the state (2nd state) where the finger | toe is strongly pressed on the finger placement guide. 本人認証の処理動作(指静脈認証処理)の処理手順を示すフローチャートである。It is a flowchart which shows the process sequence of the process operation | movement (finger vein authentication process) of personal authentication. 第1の状態で指を置くことを促すガイダンス(第1のガイダンス)の例を示す図である。It is a figure which shows the example of the guidance (1st guidance) prompting to put a finger | toe in a 1st state. 第2の状態で指を強く押しつけるよう促すガイダンスの例を示す図である。It is a figure showing an example of guidance which urges to press a finger strongly in the 2nd state. 認証プログラムが画像データに含まれている指静脈パターンのなかでより鮮明な部分のみを抽出する際のイメージ図である。It is an image figure at the time of an authentication program extracting only a clearer part from the finger vein pattern contained in image data. 指静脈パターンのかすれや消失が生じうる近傍エリアの範囲が、より指の根元側に拡大する場合の例を示す図である。It is a figure which shows the example in case the range of the vicinity area which can generate | occur | produce the faintness and loss | disappearance of a finger vein pattern expands to the base side of a finger more. 基準軸を指の根元方向に移動させるようにその位置を再設定する場合の例を示す図である。It is a figure which shows the example in the case of resetting the position so that a reference axis may be moved to the base direction of a finger | toe. 指真贋判定プログラムが行う特徴量符号手順の例を示すイメージ図である。It is an image figure which shows the example of the feature-value code | cord | chord procedure which a finger authenticity determination program performs. 指静脈認証装置のセンサ部に強く押しつけた指の圧力を弱めるよう促すガイダンスの例を示す図である。It is a figure which shows the example of the guidance which encourages it to weaken the pressure of the finger | toe strongly pressed on the sensor part of a finger vein authentication apparatus. 対象領域の下限となる一定の面積以上の領域を確保するための他の基準軸を指の根元側に設けた場合の例を示す図である。It is a figure which shows the example at the time of providing the other reference axis for ensuring the area | region more than the fixed area used as the minimum of an object area | region on the base side of a finger | toe. 指置きガイドが指の側面側に設けられている場合において、指が指置きガイドに第1の状態で置かれている様子を示す図である。It is a figure which shows a mode that the finger is placed in the finger placement guide in the first state when the finger placement guide is provided on the side surface side of the finger. 指置きガイドが指の側面側に設けられている場合において、指が指置きガイドに第2の状態で置かれている様子を示す図である。It is a figure which shows a mode that the finger | toe is placed in the finger placement guide in the 2nd state when the finger placement guide is provided in the side surface side of a finger. 第2の実施の形態における本人認証の処理動作(指静脈認証処理)の処理手順を示すフローチャートである。It is a flowchart which shows the process sequence of the process operation | movement (finger vein authentication process) of the personal authentication in 2nd Embodiment. 指真贋判定プログラムが、あらかじめ本人として登録されたテンプレートを分割する場合の例を示す図である。It is a figure which shows the example in case a finger authenticity determination program divides | segments the template previously registered as the principal. 指真贋判定プログラムが、分割したテンプレートと、抽出した第2の特徴量の中で各テンプレートの位置に対応する部分とを重ね合わせてそれぞれの距離値を求める場合の例を示す図である(算出前)。It is a figure which shows the example in case a finger authenticity determination program calculates | requires each distance value by superimposing the divided | segmented template and the part corresponding to the position of each template in the extracted 2nd feature-value (calculation). in front). 指真贋判定プログラムが、分割したテンプレートと、抽出した第2の特徴量の中で各テンプレートの位置に対応する部分とを重ね合わせてそれぞれの距離値を求める場合の例を示す図である(算出後)。It is a figure which shows the example in case a finger authenticity determination program calculates | requires each distance value by superimposing the divided | segmented template and the part corresponding to the position of each template in the extracted 2nd feature-value (calculation). rear).
 以下に添付図面を参照して、本発明にかかる静脈認証システム、静脈認証装置および静脈認証方法の実施の形態を詳細に説明する。なお、以下では、利用者の指静脈を用いて生体の真贋を判定する場合について説明しているが、利用者の指静脈に代えて、例えば、掌静脈を用いて本人認証することも可能である。
(第1の実施の形態)
 図1は、本実施の形態における静脈認証システム1000の構成を示す図である。図1に示すように、静脈認証システム1000は、指静脈認証装置100と、情報処理装置200とを有し、これらが互いに外部バス300によって接続されている。指静脈認証装置100は、静脈認証システム1000の利用者本人を、指静脈を用いて認証する装置であり、その利用者が指をかざすためのセンサ部110を有している。情報処理装置200は、PC(Personal Computer)等の一般的なコンピュータであり、静脈認証システム1000の利用者本人の認証に伴う各種の処理を実行する装置である。なお、以下では指静脈認証装置100が情報処理装置200に外部バス300によって接続されている前提で説明しているが、例えば、外部バス300を用いずに直接情報処理装置200と接続されるUSB(Universal Serial Bus)タイプの装置であってもよい。まず、指静脈認証装置100について説明する。
Exemplary embodiments of a vein authentication system, a vein authentication apparatus, and a vein authentication method according to the present invention will be described below in detail with reference to the accompanying drawings. In the following, a case where the authenticity of the living body is determined using the finger vein of the user is described. However, instead of the finger vein of the user, for example, personal authentication can be performed using the palm vein. is there.
(First embodiment)
FIG. 1 is a diagram showing a configuration of a vein authentication system 1000 according to the present embodiment. As illustrated in FIG. 1, the vein authentication system 1000 includes a finger vein authentication device 100 and an information processing device 200, which are connected to each other via an external bus 300. The finger vein authentication device 100 is a device that authenticates the user of the vein authentication system 1000 using the finger vein, and has a sensor unit 110 for the user to hold the finger. The information processing apparatus 200 is a general computer such as a PC (Personal Computer), and is an apparatus that executes various processes accompanying authentication of the user of the vein authentication system 1000. In the following description, it is assumed that the finger vein authentication device 100 is connected to the information processing device 200 via the external bus 300. However, for example, a USB connected directly to the information processing device 200 without using the external bus 300 A (Universal Serial Bus) type device may be used. First, the finger vein authentication device 100 will be described.
 図2は、指静脈認証装置100の構成例を示す図である。図2に示すように、指静脈認証装置100は、CPU(Central Processing Unit)101と、周辺装置I/Oポート102と、指静脈認証用照明LED(Light Emitting Diode、以下、単にLEDという。)103と、画像センサ104と、指検知センサ105と、主記憶装置106とを有し、これらが互いに内部バス107によって接続されている。 FIG. 2 is a diagram illustrating a configuration example of the finger vein authentication device 100. As shown in FIG. 2, a finger vein authentication device 100 includes a CPU (Central Processing Unit) 101, a peripheral device I / O port 102, and finger vein authentication illumination LEDs (Light Emitting Diodes, hereinafter simply referred to as LEDs). 103, an image sensor 104, a finger detection sensor 105, and a main storage device 106, which are connected to each other by an internal bus 107.
 CPU101は、指静脈認証装置100におけるデータ処理を担うプロセッサであり、後述する各種のプログラムの実行、及び種々のデータの処理や制御を司る。周辺装置I/Oポート102は、指静脈認証装置100と情報処理装置200とを接続するためのインタフェースである。指静脈認証用照明LED103は、指に向けて光を照射して指静脈パターンの画像データを取得するための光源である。本実施の形態では、指の静脈パターンの取得に好適な近赤外光LEDを用いている。画像センサ104は、指静脈パターンの画像データを取得するためのセンサであり、例えばCCD(Charge Coupled Device)カメラにより、LED103によって照射された指の指静脈パターンを画像データとして取得する。指検知センサ105は、センサ部110に置かれた指を検知するためのセンサであり、例えば、タッチセンサにより、センサ部110に指が置かれている場合に、その指を検知し続ける。 The CPU 101 is a processor responsible for data processing in the finger vein authentication device 100, and controls execution of various programs, which will be described later, and processing and control of various data. The peripheral device I / O port 102 is an interface for connecting the finger vein authentication device 100 and the information processing device 200. The finger vein authentication illumination LED 103 is a light source for acquiring image data of a finger vein pattern by irradiating light toward the finger. In the present embodiment, a near-infrared light LED suitable for acquiring a finger vein pattern is used. The image sensor 104 is a sensor for acquiring image data of a finger vein pattern. For example, a finger vein pattern of a finger irradiated by the LED 103 is acquired as image data by a CCD (Charge Coupled Device) camera. The finger detection sensor 105 is a sensor for detecting a finger placed on the sensor unit 110. For example, when a finger is placed on the sensor unit 110 by a touch sensor, the finger detection sensor 105 continues to detect the finger.
 主記憶装置106は、例えば、ハードディスクやメモリから構成され、指静脈認証装置100を動作させるための各種プログラムや各種データを記憶する。図2に示すように、主記憶装置106は、本体装置制御プログラム1061と、周辺装置I/O制御プログラム1062と、認証プログラム1063と、指真贋判定プログラム1064とを記憶している。また、主記憶装置106は、第1特徴量バッファ1065と、第2特徴量バッファ1066と、画像バッファ1067とを有している。 The main storage device 106 is composed of, for example, a hard disk or memory, and stores various programs and various data for operating the finger vein authentication device 100. As shown in FIG. 2, the main storage device 106 stores a main device control program 1061, a peripheral device I / O control program 1062, an authentication program 1063, and a finger authenticity determination program 1064. The main storage device 106 also includes a first feature amount buffer 1065, a second feature amount buffer 1066, and an image buffer 1067.
 本体装置制御プログラム1061は、指静脈認証装置100全体の動作を制御するプログラムである。周辺装置I/O制御プログラム1062は、周辺装置I/Oポート102を制御するプログラムである。認証プログラム1063は、画像センサ104がLED103の光を指に照射して得られた透過光や反射光を捉えた場合に、画像センサ104から出力される指静脈パターンの画像データを処理して指静脈により利用者本人を認証するプログラムである。なお、認証プログラム1063が行う処理には、指静脈パターンの画像データからその特徴(例えば、血管パターンの分岐点の位置座標や分岐方向など)を数値化した特徴量(テンプレート)を抽出する特徴量抽出処理も含まれる。 The main device control program 1061 is a program for controlling the operation of the finger vein authentication device 100 as a whole. The peripheral device I / O control program 1062 is a program for controlling the peripheral device I / O port 102. The authentication program 1063 processes the finger vein pattern image data output from the image sensor 104 when the image sensor 104 captures transmitted light or reflected light obtained by irradiating the light of the LED 103 on the finger. This program authenticates the user himself / herself by vein. Note that the processing performed by the authentication program 1063 includes a feature amount (template) for extracting a feature amount (template) obtained by digitizing the feature (for example, the position coordinates and branch direction of the branch point of the blood vessel pattern) from the image data of the finger vein pattern. An extraction process is also included.
 指真贋判定プログラム1064は、センサ部110に置かれた物体の真贋、すなわち、その物体が生体であるかまたは人工物であるかを判定するプログラムである。指真贋判定プログラム1064は、指の真贋の判定材料として、第1特徴量バッファ1065と、第2特徴量バッファ1066とを比較することにより利用者本人の認証結果を受け入れ、確定させる。 The finger authenticity determination program 1064 is a program for determining the authenticity of an object placed on the sensor unit 110, that is, whether the object is a living body or an artificial object. The finger authenticity determination program 1064 accepts and confirms the authentication result of the user himself / herself by comparing the first feature amount buffer 1065 and the second feature amount buffer 1066 as materials for determining finger authenticity.
 第1特徴量バッファ1065は、利用者が自然に指をセンサ部110に置いた場合に得られた特徴量(第1の特徴量。具体的には後述する。)を格納するための領域である。第2特徴量バッファ1066は、利用者が指をセンサ部110に強く押し付けた場合に得られた特徴量(第2の特徴量。具体的には後述する。)を格納するための領域である。画像バッファ1067は、画像センサ104が取得した指静脈パターンの画像データを格納するための領域である。 The first feature amount buffer 1065 is an area for storing a feature amount (first feature amount, specifically described later) obtained when the user naturally places his finger on the sensor unit 110. is there. The second feature amount buffer 1066 is an area for storing a feature amount (second feature amount, specifically described later) obtained when the user strongly presses the finger against the sensor unit 110. . The image buffer 1067 is an area for storing finger vein pattern image data acquired by the image sensor 104.
 このように、各プログラムはCPU101によって実行されることで所定の機能を発揮して、それぞれの処理を実行する。これらのプログラムは、例えば、上述した各機能を含むモジュール構成となっており、実際にはCPU101が主記憶装置106からこれらのプログラムを読み出して実行することにより、上記機能が主記憶装置106上にロードされ、上述した各機能を実現することができるようになっている。 As described above, each program performs a process by executing the process by the CPU 101 by executing a predetermined function. These programs have, for example, a module configuration including the above-described functions. Actually, the CPU 101 reads these programs from the main storage device 106 and executes them, whereby the above functions are stored on the main storage device 106. The functions described above can be realized by being loaded.
 なお、上述した各プログラムは、インストール可能な形式又は実行可能な形式のファイルでCD-ROM、フレキシブルディスク(FD)、CD-R、DVD(Digital Versatile Disc)等のコンピュータで読み取り可能な記録媒体に記録されて提供することも可能である。さらに、これらのソフトウェアプログラムを、ネットワーク経由でダウンロードさせて提供または配布するように構成してもよい。続いて、図1に戻って、指静脈認証装置100が有するセンサ部110について説明する。 Each program described above is an installable or executable file on a computer-readable recording medium such as a CD-ROM, flexible disk (FD), CD-R, DVD (Digital Versatile Disc). It is also possible to provide a record. Further, these software programs may be configured to be provided or distributed by being downloaded via a network. Next, returning to FIG. 1, the sensor unit 110 included in the finger vein authentication device 100 will be described.
 図3は、センサ部110の断面図である。図3に示すように、センサ部110は、物理的には、LED103と、画像センサ104と、指検知センサ105と、指置きガイド1101と、可視光カットフィルタ1102とを有して構成されている。LED103、画像センサ104、および指検知センサ105は、図2に示したものと同様のものであが、LED103は、指検知センサ105が検知している指Fに対して指静脈パターンを取得するために好適な近赤外光を照射し、画像センサ104は、その指F内部の静脈パターンの画像データを取得している。 FIG. 3 is a cross-sectional view of the sensor unit 110. As shown in FIG. 3, the sensor unit 110 is physically configured to include an LED 103, an image sensor 104, a finger detection sensor 105, a finger placement guide 1101, and a visible light cut filter 1102. Yes. The LED 103, the image sensor 104, and the finger detection sensor 105 are the same as those shown in FIG. 2, but the LED 103 acquires a finger vein pattern for the finger F detected by the finger detection sensor 105. Therefore, the image sensor 104 acquires image data of the vein pattern inside the finger F.
 指置きガイド1101は、利用者の指Fの位置を安定させ、指Fと画像センサ104との距離を一定に保つためのガイドである。図3に示すように、指置きガイド1101は、指Fの先端部分の位置を安定して支えるための先端指置きガイドと、指Fの根元部分の位置を安定して支えるための根元指置きガイドとによって構成されている。このように、指Fの先端部分および根元部分のみを支えることにより、指Fの下側に空隙Aが形成されるようになっている。この空隙Aが設けられていることにより、指Fの内部の血流を確保することができ、明瞭な指静脈画像を得ることができる。そして、このように指Fがセンサ部110の各ガイド上に置かれた状態で上述した画像データが取得されることとなる。 The finger placement guide 1101 is a guide for stabilizing the position of the user's finger F and keeping the distance between the finger F and the image sensor 104 constant. As shown in FIG. 3, the finger placement guide 1101 includes a tip finger placement guide for stably supporting the position of the tip portion of the finger F and a root finger placement for stably supporting the position of the root portion of the finger F. It consists of a guide. As described above, by supporting only the tip portion and the root portion of the finger F, the gap A is formed on the lower side of the finger F. By providing the gap A, blood flow inside the finger F can be secured, and a clear finger vein image can be obtained. Then, the image data described above is acquired in a state where the finger F is placed on each guide of the sensor unit 110 in this way.
 可視光カットフィルタ1102は、LED103が照射する近赤外光のみを透過するフィルタである。この可視光カットフィルタ1102が設けられていることにより、画像センサ104は、指F内部のより鮮明な静脈パターンの画像データを取得することができる。 The visible light cut filter 1102 is a filter that transmits only near-infrared light emitted from the LED 103. By providing the visible light cut filter 1102, the image sensor 104 can acquire image data of a clearer vein pattern inside the finger F.
 ここで、画像センサ104の画角r1およびr2は、可視光カットフィルタ1102の全領域Rを捉えられるような角度で設定され、指置き部1101に置かれた指F内部の静脈パターンの取得対象となる範囲が最大となるように設定されている。なお、図3に示した例では、LED103は、指Fの上方に位置しているが、必ずしも上方に位置させる必要はない。指Fを効率的に照射出来る位置であれば、例えば、指置きガイド302に埋め込まれ、下方から指Fを照射しても良い。続いて、図1に戻り、情報処理装置200について説明する。 Here, the angle of view r1 and r2 of the image sensor 104 is set at an angle that allows the entire region R of the visible light cut filter 1102 to be captured, and the vein pattern acquisition target inside the finger F placed on the finger placement unit 1101 Is set to maximize the range. In the example shown in FIG. 3, the LED 103 is located above the finger F, but it is not necessarily required to be located above. As long as it is a position where the finger F can be efficiently irradiated, for example, the finger F may be embedded in the finger placement guide 302 and may be irradiated from below. Next, returning to FIG. 1, the information processing apparatus 200 will be described.
 図4は、情報処理装置200の構成例を示す図である。図4に示すように、情報処理装置200は、CPU201と、周辺装置I/Oポート202と、表示装置203と、キー入力装置204と、主記憶装置205とを有し、これらが互いに内部バス206によって接続されている。 FIG. 4 is a diagram illustrating a configuration example of the information processing apparatus 200. As illustrated in FIG. 4, the information processing apparatus 200 includes a CPU 201, a peripheral device I / O port 202, a display device 203, a key input device 204, and a main storage device 205, and these are internal buses. 206 is connected.
 CPU201は、静脈認証システム1000全体のデータ処理を担うプロセッサであり、後述する各種のプログラムの実行、及び種々のデータの処理や制御を司る。周辺装置I/Oポート202は、情報処理装置200と指静脈認証装置100とを接続するためのインタフェースである。表示装置203は、例えば、LCD(Liquid Crystal Display)であり、指静脈により利用者の本人認証の結果(例えば、本人であると認証したか他人であると認証したかを示すステータス)や指の置き方等のガイダンス、あるいは本人認証の結果や指の真贋の判定結果を利用者に表示する。キー入力装置204は、例えば、キーボードであり、利用者から、静脈認証システム1000を利用するためのID(IDentifier)やパスワード等の情報の入力を受け付ける。なお、以下では、表示装置203が上述したガイダンスを表示することとしているが、指静脈認証装置100(例えば、可視光カットフィルタ1102)に表示部を設け、その表示部にガイダンスを表示させることも可能である。 The CPU 201 is a processor that is responsible for data processing of the entire vein authentication system 1000, and controls execution of various programs, which will be described later, and processing and control of various data. The peripheral device I / O port 202 is an interface for connecting the information processing device 200 and the finger vein authentication device 100. The display device 203 is, for example, an LCD (Liquid Crystal Display), and the result of user authentication (for example, status indicating whether the user is authenticated or the other person) or finger Guidance on placement, etc., or results of identity authentication and finger authentication are displayed to the user. The key input device 204 is, for example, a keyboard, and receives input of information such as an ID (IDentifier) and a password for using the vein authentication system 1000 from a user. In the following description, the display device 203 displays the above-described guidance. However, a display unit may be provided in the finger vein authentication device 100 (for example, the visible light cut filter 1102), and the guidance may be displayed on the display unit. Is possible.
 主記憶装置205は、例えば、ハードディスクから構成され、情報処理装置200や静脈認証システム1000を動作させるための各種プログラムを記憶する。図4に示すように、主記憶装置205は、指静脈認証装置制御プログラム2051と、周辺装置I/O制御プログラム2052と、ガイダンス表示プログラム2053とを記憶している。 The main storage device 205 is composed of, for example, a hard disk, and stores various programs for operating the information processing device 200 and the vein authentication system 1000. As shown in FIG. 4, the main storage device 205 stores a finger vein authentication device control program 2051, a peripheral device I / O control program 2052, and a guidance display program 2053.
 指静脈認証装置制御プログラム2051は、周辺装置I/Oポート202を介して接続されている指静脈認証装置100を制御するプログラムである。周辺装置I/O制御プログラム2052は、周辺装置I/Oポート202を制御するプログラムである。ガイダンス表示プログラム2053は、指の置き方ガイダンス等を表示装置203に表示する他、指静脈認証装置100の指真贋判定プログラム1054がセンサ部110に置かれた物体が人工物であると判定した場合に、その情報(人工物または生体指である旨等、真贋の判定結果)を表示装置203に表示するプログラムである。 The finger vein authentication device control program 2051 is a program for controlling the finger vein authentication device 100 connected via the peripheral device I / O port 202. The peripheral device I / O control program 2052 is a program for controlling the peripheral device I / O port 202. When the guidance display program 2053 displays finger placement guidance or the like on the display device 203, the finger authenticity determination program 1054 of the finger vein authentication device 100 determines that the object placed on the sensor unit 110 is an artificial object. In addition, this is a program for displaying the information (authentication result such as an artifact or a living finger) on the display device 203.
 続いて、図5~図6を用いて、センサ部110に置かれた指の真贋を判定する原理について説明する。図5は、指Fが指置きガイド1101に自然に置かれている状態(第1の状態)を示す図である。ここで、自然に置かれている状態とは、利用者が特に意識して力を加えることなく自然に指Fを指置きガイド1101に置いている状態、すなわち利用者が指Fを強く押しつけようという意識が無く自然な圧力(指の自重による圧力)で置かれている状態のほか、利用者の意識にかかわらず何らかの外力によって指Fが押し付けられて圧力がかかっていない状態も含んでいる(図5(a))。このような状態では、空隙Aにより指Fの血流が十分に確保されるため、画像センサ104は指静脈パターンの画像データIをムラ無く取得することが出来る(図5(b))。 Subsequently, the principle of determining the authenticity of the finger placed on the sensor unit 110 will be described with reference to FIGS. FIG. 5 is a diagram illustrating a state where the finger F is naturally placed on the finger placement guide 1101 (first state). Here, the state of being placed naturally means a state in which the user naturally places the finger F on the finger placement guide 1101 without consciously applying force, that is, the user strongly presses the finger F. In addition to the state of being placed with natural pressure (pressure due to the weight of the finger), it includes the state where the finger F is pressed by some external force and no pressure is applied regardless of the user's consciousness ( FIG. 5 (a)). In such a state, the blood flow of the finger F is sufficiently secured by the gap A, so that the image sensor 104 can acquire the image data I of the finger vein pattern without unevenness (FIG. 5B).
 図6は、指Fが指置きガイド1101に強く押しつけられている状態(第2の状態)を示す図である。ここで、強く押し付けられている状態とは、上述した第1の状態以外の状態、すなわち利用者が意識して指Fを指置きガイド1101に押し付けている状態のほか、利用者が意識しない場合であっても何らかの外力によって指Fが押し付けられて圧力がかかった状態も含んでいる(図6(a))。指Fが指置きガイド1101に強く押しつけられると、指Fのうちこれらのガイドに触れている部分の血流が阻害される。また、それのみならず、指先側の指置きガイド1101の近傍エリアf1でも血流が阻害されることが、過去の実験により判明している。そのため、画像センサ104が取得する指静脈パターンの画像データIについても、指先側の指置きガイド1101の近傍エリアf1においては指静脈パターンが消失する(図6(b))。 FIG. 6 is a diagram illustrating a state where the finger F is strongly pressed against the finger placement guide 1101 (second state). Here, the strongly pressed state is a state other than the above-described first state, that is, a state where the user is consciously pressing the finger F against the finger placement guide 1101, or a case where the user is not conscious. However, this includes a state in which the finger F is pressed by some external force and pressure is applied (FIG. 6A). When the finger F is strongly pressed against the finger placement guide 1101, blood flow in a portion of the finger F that is in contact with these guides is inhibited. In addition, past experiments have shown that blood flow is inhibited not only in the vicinity area f1 of the finger placement guide 1101 on the fingertip side. Therefore, also in the finger vein pattern image data I acquired by the image sensor 104, the finger vein pattern disappears in the vicinity area f1 of the finger placement guide 1101 on the fingertip side (FIG. 6B).
 以下では、第1の状態は指が自然に置かれている状態であり、第2の状態は指が強く押し付けられている状態であるとして説明しているが、指の押し付け圧の強弱により指内部の血流の具合が変化し、その結果、画像センサ104によって撮像される指静脈パターンにも変化が生じる点を生体の特徴として捉えるものである。したがって、第1の状態と第2の状態との間で、真贋が判定できる程度の指の押し付け圧の変化が生じていればよい。 In the following description, it is assumed that the first state is a state where the finger is placed naturally, and the second state is a state where the finger is strongly pressed. The point that the state of the internal blood flow changes and, as a result, the finger vein pattern imaged by the image sensor 104 also changes is regarded as a feature of the living body. Therefore, it is only necessary that the finger pressing pressure change to such an extent that authenticity can be determined between the first state and the second state.
 なお、指静脈は指の先端に進むにつれて細くなり、かつ枝分かれも多くなることから、血流の阻害は指先に発生しやすく、指を指先側の指置きガイド1101に押し付ける力を強くするに従って、指の付け根方向に血流の阻害が拡大することも、過去の実験により判明している。このため、上述した近傍エリアf1の範囲も、その力の強さに応じて指Fの根元方向に拡大する一方、近傍エリアf1以外のエリアf2の範囲が縮小することとなる。また、当然のことではあるが、このような血流の阻害は、生体指(つまり人間の指)のみに起こり、人工指においては、よほど精確に生体指を模して製作しなければ起こり得ない。 In addition, since the finger vein becomes thinner as the tip of the finger advances and branching increases, blood flow inhibition is likely to occur at the fingertip, and as the force pressing the finger against the finger placement guide 1101 on the fingertip side is increased, Past experiments have also shown that blood flow inhibition increases in the direction of the base of the finger. For this reason, the range of the neighborhood area f1 described above also expands in the root direction of the finger F according to the strength of the force, while the range of the area f2 other than the neighborhood area f1 is reduced. Of course, such blood flow inhibition occurs only in living fingers (that is, human fingers), and in artificial fingers, it cannot occur unless the finger is imitated very accurately. Absent.
 以上のことから、本発明者は、指静脈認証装置100において、指Fを指置きガイド1101に無意識に置いた状態における指静脈パターンの画像データと、指Fを強く押しつけた状態における指静脈パターンの画像データとを比較し、近傍エリアf1における指静脈の異なり具合(例えば、指静脈の消失具合)、あるいは近傍エリアf1以外のエリアf2における指静脈パターンの画像データとの共通具合等の相違を調べることにより、両者に所定の関係があるか否かを判断し、指の真贋を判定することが出来ると考えたものである。 From the above, the inventor of the present invention, in the finger vein authentication device 100, the finger vein pattern image data when the finger F is unconsciously placed on the finger placement guide 1101, and the finger vein pattern when the finger F is strongly pressed And the difference of the finger vein in the neighboring area f1 (for example, the disappearance of the finger vein) or the difference in the common condition with the image data of the finger vein pattern in the area f2 other than the neighboring area f1. By examining it, it is considered that whether or not there is a predetermined relationship between the two and the authenticity of the finger can be determined.
 次に、図7~図9を参照して、指静脈認証装置100及び情報処理装置200における指静脈による本人認証の処理動作、とりわけ上述した指の真贋判定の処理について説明する。 Next, with reference to FIGS. 7 to 9, the personal vein authentication processing operation by the finger vein in the finger vein authentication device 100 and the information processing device 200, particularly the above-described finger authenticity determination processing will be described.
 図7は、上述した本人認証の処理動作(指静脈認証処理)の処理手順を示すフローチャートである。図7に示すように、まず、情報処理装置200のCPU201は指静脈認証装置制御プログラム2051を実行し、指静脈認証処理の起動信号を指静脈認証装置100に送信する(ステップS701)。指静脈認証装置100は、受信した起動信号によりCPU101を起動して、各プログラム1061~1064を実行する。 FIG. 7 is a flowchart showing a processing procedure of the above-described personal authentication processing operation (finger vein authentication processing). As shown in FIG. 7, first, the CPU 201 of the information processing device 200 executes the finger vein authentication device control program 2051 and transmits a finger vein authentication processing activation signal to the finger vein authentication device 100 (step S701). The finger vein authentication device 100 activates the CPU 101 in response to the received activation signal and executes the programs 1061 to 1064.
 指静脈認証装置100が起動した後、情報処理装置200のCPU201は、ガイダンス表示プログラム2053を実行し、指静脈認証装置100のセンサ部110に第1の状態で指を置くことを促すガイダンスを表示装置203に表示させる(ステップS702)。図8は、第1の状態で指を置くことを促すガイダンス(第1のガイダンス)の例を示す図である。図8に示すように、第1のガイダンスには、指を自然な状態で置くことを促す旨およびそのイメージが表示されている。 After the finger vein authentication device 100 is activated, the CPU 201 of the information processing device 200 executes the guidance display program 2053 and displays guidance prompting the user to place the finger in the first state on the sensor unit 110 of the finger vein authentication device 100. It is displayed on the device 203 (step S702). FIG. 8 is a diagram illustrating an example of guidance (first guidance) that prompts the user to place a finger in the first state. As shown in FIG. 8, in the first guidance, a message that prompts the user to place the finger in a natural state and an image thereof are displayed.
 ステップS702において第1の状態で指が置かれると、指静脈認証装置100の指検知センサ105がそれを検知し、CPU101が認証プログラム1063を実行して、LED103及び画像センサ104を制御して指静脈の画像データを取得し、取得した画像データから第1の特徴量を抽出する(ステップS703)。そして、認証プログラム1063は、抽出した第1の特徴量を第1特徴量バッファ1065に格納する(ステップS704)。 When a finger is placed in the first state in step S702, the finger detection sensor 105 of the finger vein authentication device 100 detects this, and the CPU 101 executes the authentication program 1063 to control the LED 103 and the image sensor 104 to control the finger. The vein image data is acquired, and a first feature amount is extracted from the acquired image data (step S703). Then, the authentication program 1063 stores the extracted first feature quantity in the first feature quantity buffer 1065 (step S704).
 なお、本実施の形態では、第1の特徴量を取得した後に、以降の各処理を行って第2の特徴量を取得している。その理由は、先に第2の特徴量を取得する場合、利用者はどの程度の力で指をセンサ部110に置けばよいのかが判断できない場合が多いと考えられるためである。このような順序で操作させることにより、利用者は特に力の入れ具合を気にする必要がないため、指の真贋判定の操作性を高めることができる。したがって、このような操作の順序を特に意識して利用させる必要がない場合には、第2の特徴量を取得した後に、第1の特徴量を取得することももちろん可能である。 In the present embodiment, after acquiring the first feature amount, the subsequent processing is performed to acquire the second feature amount. The reason is that when the second feature amount is acquired first, it is considered that the user often cannot determine how much force the user should place on the sensor unit 110. By operating in this order, the user does not need to worry about how much force is applied, so that the operability of finger authenticity determination can be improved. Therefore, when it is not necessary to use such an operation sequence with particular attention, it is of course possible to acquire the first feature amount after acquiring the second feature amount.
 その後、認証プログラム1063は、例えば、情報処理装置200にあらかじめ本人として登録されているテンプレートと第1の特徴量とを比較し、その不一致度合い(距離値)を求めることにより本人であるか否かを判定するための認証処理を実行し(ステップS705)、その認証結果により利用者本人であるか否かを判定する(ステップS706)。 Thereafter, the authentication program 1063, for example, compares the template registered in advance in the information processing apparatus 200 as the principal with the first feature amount, and determines whether or not it is the principal by obtaining the degree of mismatch (distance value). Authentication processing is executed (step S705), and whether or not the user is the user is determined based on the authentication result (step S706).
 そして、認証プログラム1063は、その認証結果により利用者本人ではないと判定した場合(ステップS706;No)、すなわち距離値があらかじめ設定された閾値を上回っている場合には本人でないと判定し、指静脈認証処理を拒絶終了させる。一方、認証プログラム1063は、その認証結果により利用者本人であると判定した場合(ステップS706;Yes)、すなわち距離値があらかじめ設定された閾値以下である場合には後段の処理に進む。このように本人であると認証された場合にのみこれ以降の処理を行うので、誤って本人ではない利用者の指の真贋を判定することがなく、確実に利用者本人の指の真贋を判定することができる。例えば、静脈画像が取得可能な形状や材質を用いた疑似的な人工指を用いて誤って本人と認証されてしまった場合であっても、その人工指を強く押し付けた状態で置くことにより、本来の生体指に生じる静脈画像内の静脈のかすれや消失具合のでき方と人工指に生じる静脈のかすれや消失具合のでき方とが異なるため、以降の処理を行うことによって、人工指を用いて本人と認証されたものか否かを判定することができる。 If the authentication program 1063 determines that the user is not the user (step S706; No), that is, if the distance value exceeds a preset threshold, the authentication program 1063 determines that the user is not the user. The rejection of the vein authentication process is terminated. On the other hand, if the authentication program 1063 determines that the user is the user himself / herself based on the authentication result (step S706; Yes), that is, if the distance value is equal to or smaller than a preset threshold value, the authentication program 1063 proceeds to the subsequent process. Since the subsequent processing is performed only when the user is authenticated as described above, the authenticity of the finger of the user who is not the user is not erroneously determined, and the authenticity of the user's finger is reliably determined. can do. For example, even if the person is mistakenly authenticated with a pseudo artificial finger using a shape or material capable of acquiring a vein image, by placing the artificial finger in a strongly pressed state, Since the method of blurring or disappearing veins in the vein image that occurs in the original living finger differs from the method of blurring or disappearing veins that occur in the artificial finger, use the artificial finger by performing the following processing It is possible to determine whether or not the user has been authenticated.
 その後、認証プログラム1063は、指がすり替えられていないことを確認するため、指検知部105が指を検知し続けているか否かを判定し(ステップS707)、指検知部105が指を検知し続けていないと判定した場合(ステップS707;No)、ガイド1101から指が離れてすり替えられたと判定し、指静脈認証処理を拒絶終了させる。一方、認証プログラム1063は、指検知部105が指を検知し続けていると判定した場合(ステップS707;Yes)、ガイド1101から指が離れておらずすり替えられていないと判定し、情報処理装置200のCPU201は、ガイダンス表示プログラム2053を実行し、指静脈認証装置100のセンサ部110に第2の状態で指を強く押しつけるよう促すガイダンスを表示装置203に表示させる(ステップS708)。図9は、第2の状態で指を強く押しつけるよう促すガイダンスの例を示す図である。図9に示すように、第2のガイダンスには、指を強く押し付けた状態で置くことを促す旨およびそのイメージが表示されている。 Thereafter, the authentication program 1063 determines whether or not the finger detection unit 105 continues to detect the finger in order to confirm that the finger has not been replaced (step S707), and the finger detection unit 105 detects the finger. If it is determined that it has not been continued (step S707; No), it is determined that the finger has been removed from the guide 1101, and the finger vein authentication process is terminated. On the other hand, if the authentication program 1063 determines that the finger detection unit 105 continues to detect the finger (step S707; Yes), the authentication program 1063 determines that the finger is not separated from the guide 1101 and has not been replaced, and the information processing apparatus The CPU 201 of 200 executes the guidance display program 2053, and causes the display device 203 to display a guidance prompting the sensor unit 110 of the finger vein authentication device 100 to strongly press the finger in the second state (step S708). FIG. 9 is a diagram illustrating an example of guidance that prompts the user to strongly press the finger in the second state. As shown in FIG. 9, the second guidance displays a message that prompts the user to place the finger in a state where the finger is strongly pressed, and an image thereof.
 その後、指静脈認証装置100において、CPU101は認証プログラム1063を実行して、LED103及び画像センサ104を制御して指静脈の画像データを取得し、取得した指静脈の画像データから第2の特徴量を抽出する(ステップS709)。そして、認証プログラム1063は、抽出した第2の特徴量を第2特徴量バッファ1066に格納する(ステップS710)。 Thereafter, in the finger vein authentication device 100, the CPU 101 executes the authentication program 1063, controls the LED 103 and the image sensor 104 to acquire finger vein image data, and obtains a second feature amount from the acquired finger vein image data. Is extracted (step S709). Then, the authentication program 1063 stores the extracted second feature quantity in the second feature quantity buffer 1066 (step S710).
 ここで、認証プログラム1063がステップS709において第2の特徴量を抽出する具体的な方法について説明する。この場合、センサ部110に置かれた物体が生体指であるか人工指であるかを判定するため、さらには各特徴量をより精度よく抽出するために、認証プログラム1063は、画像データに含まれている指静脈パターンの中でより鮮明な部分のみを第2の特徴量として抽出する。 Here, a specific method by which the authentication program 1063 extracts the second feature amount in step S709 will be described. In this case, the authentication program 1063 is included in the image data in order to determine whether the object placed on the sensor unit 110 is a living finger or an artificial finger, and to extract each feature amount more accurately. Only a clearer portion of the finger vein pattern is extracted as the second feature amount.
 図10は、認証プログラム1063が画像データに含まれている指静脈パターンのなかでより鮮明な部分のみを抽出する際のイメージ図である。図10に示す例では、認証プログラム1063は、画像データIの中で、指静脈パターンの鮮明な部分である対象領域Dのみを抽出するために、画像データIにおける起点座標Pを定め、その起点座標Pを1つの頂点とする矩形領域(指の長さ方向の幅w1および指の幅方向の幅w2であらかじめ定められる領域)を対象領域Dとして特定する。上述したように、指先に進むにつれて血流の阻害が発生しやすいため、対象領域Dは画像データIの中ではより指の根元側の部分となる。 FIG. 10 is an image diagram when the authentication program 1063 extracts only a clearer portion from the finger vein pattern included in the image data. In the example shown in FIG. 10, the authentication program 1063 determines a starting point coordinate P in the image data I in order to extract only the target region D that is a clear portion of the finger vein pattern from the image data I. A rectangular area having a coordinate P as one vertex (an area predetermined by a width w1 in the finger length direction and a width w2 in the finger width direction) is specified as the target area D. As described above, since the blood flow is likely to be inhibited as it proceeds to the fingertip, the target region D is a portion closer to the base of the finger in the image data I.
 認証プログラム1063は、上述した起点座標Pを、例えば、画像データIにおいて、血流の阻害が発生しにくいと想定される位置としてあらかじめ定められた基準軸X1よりも指の根元方向側(図10に示す例では右側)となるように定める。この基準軸X1は、図6に示したように、血流の阻害が発生して指静脈パターンが消失する可能性の高い指先側の指置きガイド1101の近傍エリアf1の範囲(あるいはこれとは逆にそれ以外のエリアf2)に一致するように(すなわち、これらの各領域の境界となるように)あらかじめ定められている。例えば、基準軸X1は、指先側の指置きガイド1101から指の根元方向に一定の範囲は上述した近傍エリアf1となりうる範囲であるとして、その範囲の根元側の一辺を基準軸X1として設定される。そして、認証プログラム1063は、起点座標Pが基準軸X1よりも指先側となってしまう場合には、そもそも静脈自体が確認できない人工指であると判断し、指静脈認証処理を拒絶終了させ、不正なアクセスを防止する。 The authentication program 1063 uses the above-described starting point coordinates P, for example, in the root direction side of the finger with respect to the reference axis X1 that is determined in advance as a position in the image data I where blood flow inhibition is unlikely to occur (FIG. 10). In the example shown in Fig. 4, the right side) is determined. As shown in FIG. 6, the reference axis X1 is the range of the vicinity area f1 of the finger placement guide 1101 on the fingertip side where the blood flow is hindered and the finger vein pattern is likely to disappear (or what is this)? On the contrary, it is determined in advance so as to coincide with the other area f2) (that is, to be a boundary between these areas). For example, the reference axis X1 is set as a reference axis X1 on one side of the base side of the range, assuming that a certain range from the finger placement guide 1101 on the fingertip side to the base area of the finger can be the above-described neighborhood area f1. The Then, if the starting point coordinate P is closer to the fingertip side than the reference axis X1, the authentication program 1063 determines that the vein itself is an artificial finger that cannot be confirmed in the first place, terminates the finger vein authentication process, Prevent unwanted access.
 このように、認証プログラム1063は、基準軸X1および起座標点Pを設定した上で、上述した対象領域Dのみを抜き出し、その他の部分をノイズとして無視することにより、指静脈パターンの鮮明な対象領域Dのみを第2の特徴量として抽出することができる。なお、指を置く力加減を変えた際に、指が指先方向や根元方向、あるいは指の幅方向にずれてしまうことを考慮し、対象領域Dの面積がさらに小さくなるように、上述した幅w1および幅w2を定めることとしてもよい。ただし、一定の認証精度を確保する必要があるため、対象領域Dはあらかじめ定められた基準面積を満たすことが望ましい。もし、対象領域Dがあらかじめ定められた基準面積に満たない場合には、認証プログラム1063は指静脈認証処理を拒絶終了させてもよい。 As described above, the authentication program 1063 sets the reference axis X1 and the origin coordinate point P, extracts only the target region D described above, and ignores the other portions as noise, thereby clearing the target of the finger vein pattern. Only the region D can be extracted as the second feature amount. In consideration of the fact that the finger is displaced in the fingertip direction, the root direction, or the finger width direction when the force applied to the finger is changed, the above-described width is set so that the area of the target region D is further reduced. The w1 and the width w2 may be determined. However, since it is necessary to ensure a certain authentication accuracy, it is desirable that the target region D satisfies a predetermined reference area. If the target area D is less than a predetermined reference area, the authentication program 1063 may end the finger vein authentication process by rejection.
 図10に示した例では、基準軸X1および対象領域Dの範囲はあらかじめ定められたものであるとして説明しているが、指静脈認証装置100が利用される状況(例えば、低温環境下にあって利用者の血流が悪くなる場合)や利用者の個人差(例えば、元々利用者の血流が悪い場合)によっては、指を強く押し付けた状態で置くと、指静脈パターンのかすれや消失が生じうる近傍エリアf1の範囲が、より指の根元側に拡大する場合も想定される。 In the example illustrated in FIG. 10, the range of the reference axis X1 and the target region D is described as being predetermined, but the situation where the finger vein authentication device 100 is used (for example, in a low temperature environment). Depending on the user's individual blood flow (for example, when the user's blood flow is originally poor), the finger vein pattern may fade or disappear when placed with the finger pressed hard. It is also assumed that the range of the vicinity area f1 in which the occurrence of the phenomenon can occur further expands to the finger base side.
 具体的には、図11に示すように、認証プログラム1063が定めた起点座標Pが、指静脈パターンの鮮明な対象領域Dの頂点と一致せず、その位置が指静脈パターンのかすれや消失が生じうる近傍エリアf1の範囲にかかってしまうことも考えられる。このような場合には、例えば、認証プログラム1063は、その時点で設定されている基準軸X1を基準として、画像データIの中で指先方向に表れている血流の画素値と、画像データIの中で指の根元方向に表れている血流の画素値との間で一定以上の差が生じていない場合には、図12に示すように、これらの値に一定以上の差が生じる位置まで、基準軸X1を指の根元方向に移動させるように、その位置を再設定することとしてもよい。 Specifically, as shown in FIG. 11, the starting point coordinates P determined by the authentication program 1063 do not coincide with the vertices of the clear target area D of the finger vein pattern, and the position of the finger vein pattern is blurred or lost. It is also conceivable that it falls within the range of the neighboring area f1 that can occur. In such a case, for example, the authentication program 1063 uses the reference axis X1 set at that time as a reference, the pixel value of the blood flow appearing in the fingertip direction in the image data I, and the image data I If there is no difference above a certain level between the pixel values of blood flow appearing in the direction of the root of the finger, as shown in FIG. Until then, the position may be reset so that the reference axis X1 is moved in the finger base direction.
 このように基準軸X1が再設定されると、再設定された後の基準軸X1を基準として、画像データIの中で指先方向に表れている血流の画素値と、画像データIの中で根元方向に表れている血流の画素値との間で一定以上の差が生じ、認証プログラム1063は、指静脈パターンの鮮明な対象領域Dのみを抽出するための起点座標Pを正しく定めることができる。ただし、この場合において、基準軸X1が再設定された後に特定された対象領域Dが、あらかじめ定められた基準面積に満たない場合には、認証プログラム1063は、上述した場合と同様に、そもそも静脈自体が確認できない人工指であると判断し、指静脈認証処理を拒絶終了させ、不正なアクセスを防止する。 When the reference axis X1 is reset in this way, the pixel value of the blood flow appearing in the fingertip direction in the image data I and the image data I in the image data I with the reference axis X1 after being reset as a reference. The authentication program 1063 correctly determines the starting point coordinates P for extracting only the clear target region D of the finger vein pattern. Can do. However, in this case, if the target area D specified after the reference axis X1 is reset is less than the predetermined reference area, the authentication program 1063 is originally a vein as in the case described above. It is determined that the finger is an artificial finger that cannot be confirmed, and the finger vein authentication processing is rejected and unauthorized access is prevented.
 そして、ステップS710の処理が終了して第2の特徴量が第2特徴量バッファ1066に格納されると、CPU101は指真贋判定プログラム1064を実行して、起点座標Pが基準軸X1よりも指の根元側に位置しているか、すなわち対象領域Dが基準軸X1よりも指の根元側である所定の範囲にあるか否かを判定し(ステップS711)、対象領域Dが基準軸X1よりも指の根元側である所定の範囲にないと判定した場合(ステップS711;No)、図6に示したように、生体指であれば生じているはずの近傍エリアf1における指静脈パターンのかすれ、あるいはその消失がないと判断し、センサ部110に置かれた物体が人工指であるとみなして、指静脈認証処理を拒絶終了させる。 When the process of step S710 is completed and the second feature value is stored in the second feature value buffer 1066, the CPU 101 executes the finger authenticity determination program 1064 so that the starting point coordinate P is higher than the reference axis X1. Is determined, that is, whether the target area D is in a predetermined range that is closer to the base of the finger than the reference axis X1 (step S711), and the target area D is higher than the reference axis X1. When it is determined that it is not within the predetermined range on the finger base side (step S711; No), as shown in FIG. 6, the finger vein pattern in the vicinity area f1 that should have occurred if it is a living finger is blurred, Alternatively, it is determined that there is no disappearance, the object placed on the sensor unit 110 is regarded as an artificial finger, and the finger vein authentication process is terminated.
 一方、指真贋判定プログラム1064は、対象領域Dが基準軸X1よりも指の根元側である所定の範囲にあると判定した場合(ステップS711;Yes)、認証プログラム1063が抽出した第1の特徴量と第2の特徴量とが符合する位置を調べ、その座標位置を取得する(ステップS712)。ここで、指真贋判定プログラム1064が、第1の特徴量と第2の特徴量とが符合する位置を調べてその座標位置を取得する手順(特徴量符号手順)について説明する。指真贋判定プログラム1064は、対象領域Dが基準軸X1よりも指の根元側である所定の範囲にある場合にのみ、すなわち、人工指ではない場合にのみ第1の特徴量と第2の特徴量とが符合する位置を調べるので、人工指であった場合において無駄にステップS712の処理を行うようなことはなく、指静脈認証処理をより簡潔に進めることができる。 On the other hand, if the finger authenticity determination program 1064 determines that the target area D is within a predetermined range that is closer to the root of the finger than the reference axis X1 (step S711; Yes), the first feature extracted by the authentication program 1063 The position where the amount and the second feature amount coincide with each other is checked, and the coordinate position is obtained (step S712). Here, a procedure in which the finger authenticity determination program 1064 examines a position where the first feature quantity and the second feature quantity match and acquires the coordinate position (feature quantity code procedure) will be described. The finger authenticity determination program 1064 only includes the first feature amount and the second feature only when the target region D is in a predetermined range that is closer to the base of the finger than the reference axis X1, that is, only when the target region is not an artificial finger. Since the position where the amount matches is checked, the finger vein authentication process can be performed more simply without wastefully performing the process of step S712 when the finger is an artificial finger.
 図13は、指真贋判定プログラム1064が行う特徴量符号手順の例を示すイメージ図である。図13に示すように、指真贋判定プログラム1064は、ステップS703において認証プログラム1063が取得した第1の特徴量(図13に示す例では画像データI)と、ステップS709において抽出した第2の特徴量(図13に示す例では対象領域D)とを重ね合わせ、対象領域Dを画像データI上の任意の方向に少しずつ移動させる(図13(a))。そして、指真贋判定プログラム1064は、両者の特徴量(距離値)が一致する度合いが最も高い位置を特定し、一定の認証精度を確保するため、特定した位置があらかじめ設定された閾値以上である場合に、その位置(符号位置)を取得する。 FIG. 13 is an image diagram illustrating an example of a feature amount code procedure performed by the finger authenticity determination program 1064. As illustrated in FIG. 13, the finger authenticity determination program 1064 includes the first feature amount (image data I in the example illustrated in FIG. 13) acquired by the authentication program 1063 in step S703 and the second feature extracted in step S709. The amount (the target region D in the example shown in FIG. 13) is overlapped, and the target region D is moved little by little in an arbitrary direction on the image data I (FIG. 13 (a)). Then, the finger authenticity determination program 1064 specifies the position where the feature amount (distance value) of both is the highest and the specified position is equal to or greater than a preset threshold value in order to ensure a certain authentication accuracy. In the case, the position (code position) is acquired.
 そして、指真贋判定プログラム1064は、符号位置が取得できたか否かを判定し(ステップS713)、符号位置が取得できていないと判定した場合(ステップS713;No)、センサ部110に置かれた物体が人工指であるとみなし、指静脈認証処理を拒絶終了させる。 Then, the finger authenticity determination program 1064 determines whether or not the code position has been acquired (step S713). If it is determined that the code position cannot be acquired (step S713; No), the finger authenticity determination program 1064 is placed on the sensor unit 110. The object is regarded as an artificial finger and the finger vein authentication process is terminated.
 一方、指真贋判定プログラム1064は、符号位置が取得できたと判定した場合(ステップS713;Yes)、第1の特徴量と第2の特徴量とが符合すると判断し、さらにその符号位置にある対象領域Dの各頂点のうちの起点座標Pに対応する頂点Qの座標が基準軸X1よりも指の根元側に位置しているか(図13(b))、すなわち符号後の対象領域Dが基準軸X1よりも指の根元側である所定の範囲にあるか否かを判定する(ステップS714)。 On the other hand, if the finger authenticity determination program 1064 determines that the code position has been acquired (step S713; Yes), the finger authenticity determination program 1064 determines that the first feature value and the second feature value match, and further the target at the code position. Whether the coordinates of the vertex Q corresponding to the starting point coordinate P among the vertices of the region D are located closer to the root of the finger than the reference axis X1 (FIG. 13B), that is, the target region D after the sign is the reference It is determined whether or not it is in a predetermined range that is closer to the base of the finger than the axis X1 (step S714).
 そして、指真贋判定プログラム1064は、対象領域Dが基準軸X1よりも指の根元側である所定の範囲にないと判定した場合(ステップS714;No)、第1の特徴量と第2の特徴量とに共通性が無く、第1の特徴量を抽出してから第2の特徴量を抽出するまで(ステップS703~ステップS712)の間で、指がすり替えられたとみなし、指静脈認証処理を拒絶終了させる。 When the finger authenticity determination program 1064 determines that the target area D is not within a predetermined range that is closer to the root of the finger than the reference axis X1 (step S714; No), the first feature amount and the second feature Since there is no commonality with the amount, it is considered that the finger has been replaced between the extraction of the first feature amount and the extraction of the second feature amount (steps S703 to S712), and the finger vein authentication processing is performed. End rejection.
 一方、指真贋判定プログラム1064は、対象領域Dが基準軸X1よりも指の根元側である所定の範囲にあると判定した場合(ステップS714;Yes)、センサ部110に置かれた物体が生体指であるとみなして、ステップS705における認証結果が利用者本人のものであることが裏付けられたと判断し、その認証結果を受け入れて確定させる(ステップS715)。このように、指真贋判定プログラム1064が指の真贋を判定した上で認証結果を受け入れて確定させるので、確実に本人を認証することができる。このステップS715の処理が終了すると、図7に示した指静脈認証処理のすべての処理が終了する。 On the other hand, when the finger authenticity determination program 1064 determines that the target area D is within a predetermined range on the finger base side with respect to the reference axis X1 (step S714; Yes), the object placed on the sensor unit 110 is a living body. Assuming that it is a finger, it is determined that the authentication result in step S705 is that of the user, and the authentication result is accepted and confirmed (step S715). As described above, since the finger authenticity determination program 1064 determines the authenticity of the finger and accepts and confirms the authentication result, the person can be reliably authenticated. When the process of step S715 is completed, all processes of the finger vein authentication process shown in FIG. 7 are completed.
 このように、本実施の形態では、指を指静脈認証装置100のセンサ部110に自然な状態で置いた際の指静脈画像と、指を強く押しつけた状態で置いた際の指静脈画像とを比較して指の真贋を判定している。指の押し付け圧の強弱により指内部の血流の具合が変化するため、撮像される指静脈パターンにも変化が生じる点を生体の特徴の一つと捉え、そのような指静脈パターンの変化を指の真贋判定のための手掛かりとすることにより、指の真贋を正しく高精度に判定することを可能としている。そして、物体が人工物と判定された場合には認証を拒否して不正アクセスを防止することができる。 Thus, in the present embodiment, the finger vein image when the finger is placed on the sensor unit 110 of the finger vein authentication device 100 in a natural state, and the finger vein image when the finger is placed with the finger pressed strongly Are used to determine the authenticity of the finger. Since the state of blood flow inside the finger changes depending on the pressure of the finger, the change in the finger vein pattern to be imaged is regarded as one of the features of the living body. By using this as a clue for determining the authenticity of the finger, it is possible to correctly determine the authenticity of the finger with high accuracy. If the object is determined to be an artifact, authentication can be rejected to prevent unauthorized access.
 以上、本発明の好ましい一つの実施の形態について説明したが、本発明は上記実施の形態に限定されずに種々変形して実施し得る。 Although one preferred embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and various modifications can be made.
 例えば、静脈認証システム1000を、例えば、現金自動取扱装置(ATM:Automated Teller Machine))に適用することも可能である。その場合、図1に示した指静脈認証装置100及び情報処理装置200で実行される各機能の一部又は全部は、ATMの主制御部に設けられたプロセッサ又は利用者の認証処理用のプロセッサにより実現される。 For example, it is also possible to apply the vein authentication system 1000 to, for example, an automatic cash handling apparatus (ATM: Automated Teller Machine). In that case, a part or all of the functions executed by the finger vein authentication device 100 and the information processing device 200 shown in FIG. 1 are a processor provided in the main control unit of the ATM or a processor for user authentication processing. It is realized by.
 また、図7において、認証プログラム1063は、指が強く押し付けられた場合における一連の処理(ステップS708~S714)の前にステップS705およびS706の認証処理を行って、利用者本人であると判定している。これは利用者本人であるとみなされた場合にのみ、後段の処理において効率よく指の真贋判定を行うための合理的判断によるものであるが、この認証処理自体は必ずしもそのタイミングで行う必要はなく、例えば、指の真贋判定処理の後(ステップS714とS715の間)に行うこととしてもよい。 In FIG. 7, the authentication program 1063 performs authentication processing in steps S705 and S706 before a series of processing (steps S708 to S714) when the finger is strongly pressed, and determines that the user is the user himself / herself. ing. This is based on a rational judgment for efficiently determining the authenticity of the finger in the subsequent process only when the user is regarded as the user himself / herself, but this authentication process itself is not necessarily performed at that timing. For example, it may be performed after the finger authenticity determination process (between steps S714 and S715).
 さらに、認証プログラム1063は、図7のステップS706において、距離値があらかじめ設定された閾値を上回っているか否かにより、「本人である」、あるいは「本人でない」という2値の判定を行っているが、この判定は必ずしも2値である必要はない。例えば、より厳格な本人認証が求められる場合には、閾値を2段階に設定し、「本人である」、「判断保留」、「本人でない」という3値による判定をし、「判断保留」と判定された場合にのみ、後段の指の真贋判定処理を行うこととしてもよい。この場合、より確実に本人を認証することができる。 Further, the authentication program 1063 performs a binary determination of “I am the person” or “I am not the person” depending on whether or not the distance value exceeds a preset threshold value in Step S706 of FIG. However, this determination is not necessarily binary. For example, when more strict personal authentication is required, the threshold is set in two stages, and determination is made based on three values of “I am the person”, “Judgment pending”, and “I am not the person”, and “Judgment pending” Only when the determination is made, the subsequent finger authenticity determination process may be performed. In this case, the person can be more reliably authenticated.
 また、認証プログラム1063は、図7のステップS708でガイダンスを表示して利用者が指を強く押し付けた場合に、その押し付け力があまりに強い場合には、指全体の指静脈パターンが消失する場合も考えられる。認証プログラム1063は、指検知部105が検知している指からの圧力が一定の値よりも強い(大きい)と判定した場合には、ステップS709において指全体の指静脈パターンが消失する可能性が高いと判断し、情報処理装置200のCPU201は、ガイダンス表示プログラム2053を実行し、図14に示すような指静脈認証装置100のセンサ部110に強く押しつけた指の圧力を弱めるよう促すガイダンスを表示装置203に表示させることとしてもよい。利用者にとって指の押し付け力の加減がわからない場合であっても、適切な強さで指をセンサ部110に置かせることができ、強い力で指を置きなおすという不要な操作の繰り返しを防ぐことができる。 Also, the authentication program 1063 may display the guidance in step S708 of FIG. 7 and the user presses the finger strongly, and the finger vein pattern of the entire finger may disappear if the pressing force is too strong. Conceivable. If the authentication program 1063 determines that the pressure from the finger detected by the finger detection unit 105 is stronger (larger) than a certain value, the finger vein pattern of the entire finger may disappear in step S709. The CPU 201 of the information processing apparatus 200 executes the guidance display program 2053 and displays guidance prompting to weaken the pressure of the finger strongly pressed against the sensor unit 110 of the finger vein authentication apparatus 100 as shown in FIG. It may be displayed on the device 203. Even if the user does not know how the finger pressing force is adjusted, the user can place the finger on the sensor unit 110 with an appropriate strength, and prevent repeated unnecessary operations such as repositioning the finger with a strong force. Can do.
 さらに、図10に示したように、認証プログラム1063は、第2の特徴量を抽出する場合に、基準軸X1の位置に従って画像データIにおける起点座標Pを設定し、対象領域Dが、あらかじめ定められた基準面積に満たない場合には、そもそも静脈自体が確認できない人工指であると判断し、指静脈認証処理を拒絶終了させている。しかし、操作の繰り返しを防ぐとともに認証精度を確保するため、例えば、図15に示すように、基準軸X1とは異なる基準軸であって、対象領域Dの下限となる一定の面積以上の領域を確保するための他の基準軸X11を指の根元側に設け、これらの基準軸の範囲で対象領域Dを設定することも可能である。この場合、一定以上の大きさの対象領域Dを確保することができるので、認証精度をより高いレベルで維持することができる。 Further, as shown in FIG. 10, the authentication program 1063 sets the starting point coordinate P in the image data I according to the position of the reference axis X1 when extracting the second feature amount, and the target area D is determined in advance. If it is less than the reference area, it is determined that the finger itself is an artificial finger for which the vein itself cannot be confirmed, and the finger vein authentication process is terminated. However, in order to prevent repeated operations and ensure authentication accuracy, for example, as shown in FIG. 15, a reference axis that is different from the reference axis X <b> 1 and has a certain area or more that is the lower limit of the target area D is used. It is also possible to provide another reference axis X11 for securing on the finger base side and set the target region D within the range of these reference axes. In this case, since the target area D having a certain size or more can be secured, the authentication accuracy can be maintained at a higher level.
 なお、本実施の形態では、図3に示したように指静脈認証装置100のセンサ部110は、指置きガイド1101を指先側と指の根元側とに設けているが、例えば、さらに(あるいは、または)指の側面側に指置きガイド1101を設けることとしてもよい。すなわち、指の周囲に指置きガイド1101を設けることとしてもよい。この場合、指置きガイド1101に接している指の周囲側に近い部分ほど指静脈パターンに消失やかすれが生じることとなる。 In the present embodiment, as shown in FIG. 3, the sensor unit 110 of the finger vein authentication device 100 is provided with the finger placement guide 1101 on the fingertip side and the finger base side. Alternatively, a finger placement guide 1101 may be provided on the side of the finger. That is, the finger placement guide 1101 may be provided around the finger. In this case, the finger vein pattern disappears or fades in the portion closer to the peripheral side of the finger in contact with the finger placement guide 1101.
 図16は、指置きガイド1101が指の側面側に設けられている場合において、指Fが指置きガイド1101に第1の状態で置かれている様子を示す図である(図16(a))。このような状態では、図5(a)に示した場合と同様に、空隙A(この場合には指置きガイド1101の内側にあるため不図示)により指Fの血流が十分に確保されるため、画像センサ104は指静脈パターンの画像データIをムラ無く取得することが出来る(図16(b))。 FIG. 16 is a diagram illustrating a state in which the finger F is placed on the finger placement guide 1101 in the first state when the finger placement guide 1101 is provided on the side surface side of the finger (FIG. 16A). ). In such a state, similarly to the case shown in FIG. 5A, the blood flow of the finger F is sufficiently ensured by the gap A (in this case, not shown because it is inside the finger placement guide 1101). Therefore, the image sensor 104 can acquire the finger vein pattern image data I without unevenness (FIG. 16B).
 一方、図17は、指置きガイド1101が指の側面側に設けられている場合において、指Fが指置きガイド1101に第2の状態で置かれている様子を示す図である(図17(a))。指Fが指置きガイド1101に強く押しつけられると、指Fのうちこれらのガイドに触れている部分の血流が阻害されるが、指置きガイド1101が指の側面側に設けられているため、指Fの側面側の近傍エリアf1aおよびf1bにおいて指静脈パターンが消失する(図17(b))。したがって、この場合には、図10に示した場合のように、認証プログラム1063は、例えば、基準軸X1と同様に、指の幅方向に血流の阻害が発生しにくいと想定される位置としてあらかじめ定められた基準軸を設け、上述した起点座標Pを、これらの基準軸の内側(指の内部側)となるように定めて対象領域Dのみを抜き出すこととしてもよい。
(第2の実施の形態)
 続いて、図18~図21を参照して、指静脈認証装置100及び情報処理装置200における指静脈認証の処理動作、とりわけ上述した指の真贋判定の処理の他の実施の形態について説明する。
On the other hand, FIG. 17 is a diagram illustrating a state where the finger F is placed on the finger placement guide 1101 in the second state when the finger placement guide 1101 is provided on the side surface of the finger (FIG. 17 ( a)). When the finger F is strongly pressed against the finger placement guide 1101, blood flow in the portion of the finger F that is in contact with these guides is inhibited, but the finger placement guide 1101 is provided on the side of the finger, The finger vein pattern disappears in the adjacent areas f1a and f1b on the side surface side of the finger F (FIG. 17B). Therefore, in this case, as in the case illustrated in FIG. 10, the authentication program 1063 is, for example, as a position where blood flow inhibition is unlikely to occur in the finger width direction, as in the reference axis X1. A predetermined reference axis may be provided, the starting point coordinate P described above may be determined to be inside the reference axis (inside the finger), and only the target region D may be extracted.
(Second Embodiment)
Next, another embodiment of the finger vein authentication processing operation in the finger vein authentication device 100 and the information processing device 200, particularly the above-described finger authenticity determination processing, will be described with reference to FIGS.
 図18は、他の実施の形態における本人認証の処理動作(指静脈認証処理)の処理手順を示すフローチャートである。なお、図18に示すステップS1801~S1810の各処理については、図7に示したステップS701~S710の各ステップにおける処理と同様であるため、ここではその説明を省略している。 FIG. 18 is a flowchart showing a processing procedure of a personal authentication processing operation (finger vein authentication processing) according to another embodiment. Note that the processes in steps S1801 to S1810 shown in FIG. 18 are the same as the processes in steps S701 to S710 shown in FIG. 7, and thus description thereof is omitted here.
 ステップS1810において、認証プログラム1063が、抽出した第2の特徴量を第2特徴量バッファ1066に格納すると、CPU101は指真贋判定プログラム1064を実行して、図7に示したステップS705の場合と同様にあらかじめ本人として登録されたテンプレートと、抽出した第2の特徴量とが部分的に符号するか否かを判定するために、その登録されているテンプレートを分割した上で、両者の一致度合いを判定するためのテンプレート分割認証処理を行う(ステップS1811)。このように、テンプレートを分割する理由は、第2の特徴量が抽出される際に利用者がセンサ部110に強く指を押し付けた場合、静脈パターンが変形して潰れて一定の認証精度が得られない場合もあるためである。このようにテンプレートを分割し、分割後のテンプレートと画像データとの比較をピースごとにマッチングさせることにより、一定の認証精度を確保することができる。 In step S1810, when the authentication program 1063 stores the extracted second feature value in the second feature value buffer 1066, the CPU 101 executes the finger authenticity determination program 1064, which is the same as in step S705 shown in FIG. In order to determine whether or not the template registered in advance as the principal and the extracted second feature amount are partially encoded, the registered template is divided and the degree of coincidence between the two is determined. A template division authentication process for determination is performed (step S1811). Thus, the reason for dividing the template is that when the user strongly presses the finger against the sensor unit 110 when the second feature amount is extracted, the vein pattern is deformed and crushed to obtain a certain authentication accuracy. This is because it may not be possible. A certain authentication accuracy can be ensured by dividing the template in this way and matching the divided template and image data for each piece.
 図19は、指真贋判定プログラム1064が、あらかじめ本人として登録されたテンプレートを分割する場合の例を示す図である。図19に示す例では、認証プログラム1063は、テンプレートTを、指先側のテンプレートT1と、指の根元側のテンプレートT2と、テンプレートT1とT2との間の中間テンプレートT3とに分割している。 FIG. 19 is a diagram illustrating an example in which the finger authenticity determination program 1064 divides a template registered in advance as a principal. In the example shown in FIG. 19, the authentication program 1063 divides the template T into a template T1 on the fingertip side, a template T2 on the finger base side, and an intermediate template T3 between the templates T1 and T2.
 そして、図20および図21に示すように、指真贋判定プログラム1064は、分割したこれらのテンプレートと、抽出した第2の特徴量の中で各テンプレートの位置に対応する部分とを重ね合わせ、それぞれの距離値を求める。 Then, as shown in FIG. 20 and FIG. 21, the finger authenticity determination program 1064 superimposes these divided templates on the portion corresponding to the position of each template in the extracted second feature amount, respectively. Find the distance value.
 具体的には、指真贋判定プログラム1064は、図20に示すように、分割したこれらのテンプレートのそれぞれと、ステップS1809において認証プログラム1063が第2の特徴量を抽出する前に取得した画像データIのうちの各テンプレートの位置に対応する画像データIの部分とを比較する。図20に示す例では、先に示したように指静脈パターンが指先側の指置きガイド1101に強く押しつけられているため、指先(近傍エリアf1)における指静脈パターンのかすれ、あるいはその消失が生じている。したがって、指先側のテンプレートT1と画像データIにおけるテンプレートT1に対応する部分との距離値は、テンプレートT2およびT3とこれらのテンプレートに対応する画像データIの部分との距離値に比べて大きくなることを利用し、テンプレート分割認証処理では各テンプレートと画像データIのうちの各テンプレートに対応する部分との間の距離値を求めている。 Specifically, as shown in FIG. 20, the finger authenticity determination program 1064 includes each of these divided templates and the image data I acquired before the authentication program 1063 extracts the second feature amount in step S1809. Are compared with the portion of the image data I corresponding to the position of each template. In the example shown in FIG. 20, since the finger vein pattern is strongly pressed against the finger placement guide 1101 on the fingertip side as described above, the finger vein pattern at the fingertip (neighboring area f1) is blurred or disappears. ing. Accordingly, the distance value between the template T1 on the fingertip side and the portion corresponding to the template T1 in the image data I is larger than the distance value between the templates T2 and T3 and the portion of the image data I corresponding to these templates. In the template division authentication process, the distance value between each template and the portion corresponding to each template in the image data I is obtained.
 そして、指真贋判定プログラム1064は、この距離値の差を利用し、分割後の各テンプレートT1~T3の距離値が、あらかじめ設定されている閾値を満たしているか否かにより、指の真贋を判定する(ステップS1812)。具体的には、指真贋判定プログラム1064は、テンプレートT1の距離値が閾値以上であり、かつテンプレートT2およびT3の距離値が閾値未満である場合には、センサ部110に置かれた物体が生体指である(すなわち真である)と判定し、それ以外の場合は生体指でない(すなわち贋である)と判定する。 Then, the finger authenticity determination program 1064 determines the authenticity of the finger by using the difference between the distance values and determining whether or not the distance values of the divided templates T1 to T3 satisfy a preset threshold value. (Step S1812). Specifically, the finger authenticity determination program 1064 determines that the object placed on the sensor unit 110 is a living body when the distance value of the template T1 is greater than or equal to the threshold value and the distance values of the templates T2 and T3 are less than the threshold value. It is determined that it is a finger (that is, true), and otherwise it is determined that it is not a living finger (that is, it is a heel).
 指真贋判定プログラム1064は、センサ部110に置かれた物体が生体指であると判定した場合には、センサ部110に置かれた物体が生体指であるとみなして、ステップS1805における認証結果が利用者本人のものであることが裏付けられたと判断し、その認証結果を受け入れて確定させる(ステップS1813)。一方、指真贋判定プログラム1064は、センサ部110に置かれた物体が生体指でないと判定した場合には、指静脈認証処理を拒絶終了させる。このステップS1813の処理が終了すると、図18に示した指静脈認証処理のすべての処理が終了する。 When the finger authenticity determination program 1064 determines that the object placed on the sensor unit 110 is a living finger, the object placed on the sensor unit 110 is regarded as a living finger, and the authentication result in step S1805 is obtained. It is determined that the user is the original one, and the authentication result is accepted and confirmed (step S1813). On the other hand, if the finger authenticity determination program 1064 determines that the object placed on the sensor unit 110 is not a living finger, the finger vein authentication process is terminated. When the process of step S1813 is completed, all the finger vein authentication processes shown in FIG. 18 are completed.
 以上、本発明の好ましいその他の実施の形態について説明したが、本発明は上記実施の形態に限定されずに種々変形して実施し得る。 Although other preferred embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and various modifications can be made.
 例えば、図19~21では、あらかじめ登録されているテンプレートTを3分割する前提で説明したが、必ずしも3分割である必要はなく、指の真贋判定を行ううえでの合理的な理由がある場合(例えば、より精密な精度での認証が必要な場合等)には、指方向に4分割し、幅方向に2分割する等、碁盤目状により細かくテンプレートを分割しても良い。この場合、さらに高い認証精度を確保することができる。 For example, in FIGS. 19 to 21, the pre-registered template T has been described on the assumption that it is divided into three. However, it is not always necessary that the template T is divided into three, and there is a reasonable reason for performing finger authenticity determination. For example (for example, when authentication with higher precision is required), the template may be finely divided in a grid pattern such as dividing into four in the finger direction and dividing into two in the width direction. In this case, higher authentication accuracy can be ensured.
 また、テンプレート分割認証処理(図18のステップS1811)では、指真贋判定プログラム1064は、分割したテンプレートのそれぞれの比較対象として画像データIを用いているが、ステップS1809において抽出された第2の特徴量を用いてもよい。指静脈パターンの鮮明な対象領域Dが第2の特徴量として抽出されているため、この場合、指真贋判定プログラム1064は、分割後のテンプレートT2、T3と画像データIとを比較し、これらのテンプレートと画像データIのうちの対応する部分との間の距離値を求める。このように、分割したテンプレートのそれぞれの比較対象として第2の特徴量を用いることにより、比較すべきテンプレートの数を減らして速やかに認証させることができる。 In the template division authentication process (step S1811 in FIG. 18), the finger authenticity determination program 1064 uses the image data I as each comparison target of the divided templates, but the second feature extracted in step S1809. An amount may be used. Since the clear target region D of the finger vein pattern is extracted as the second feature amount, in this case, the finger authenticity determination program 1064 compares the divided templates T2 and T3 with the image data I, and A distance value between the template and the corresponding portion of the image data I is obtained. As described above, by using the second feature amount as a comparison target for each of the divided templates, the number of templates to be compared can be reduced and prompt authentication can be performed.
 なお、本実施の形態では静脈認証システム1000を生体指に適用した場合について説明したが、冒頭に述べたように、例えば、生体指に限らず掌にも適用することができる。この場合、指静脈認証装置100に代えて、センサ部110と同様の機能を有し、掌を置くことができる程度の大きさを有したセンサ部を備えた掌静脈認証装置が備えられ、そのセンサ部に設けられた指置きガイド1101と同様の掌ガイドを有し、掌がその掌ガイドに強く押し当てられた場合には、掌の周囲側に、図6に示した場合と同様の静脈パターンのかすれや消失が生じることとなる。したがって、掌の周囲側に生じた静脈パターンのかすれや消失を含む部分(図6に示したような近傍エリアf1と同様の部分)とそれ以外の掌のより内側(内部側)の部分との間に、基準軸X1と同様の基準軸を設けたうえで起点座標Pと同様の座標を定め、上述した第1の特徴量や第2の特徴量を抽出して指静脈認証処理と同様の処理を行うことができる。 In the present embodiment, the case where the vein authentication system 1000 is applied to a living finger has been described. However, as described at the beginning, for example, the present invention can be applied not only to a living finger but also to a palm. In this case, instead of the finger vein authentication device 100, there is provided a palm vein authentication device having a sensor unit having the same function as the sensor unit 110 and having a size that allows a palm to be placed. When a palm guide similar to the finger placement guide 1101 provided in the sensor unit is provided and the palm is strongly pressed against the palm guide, a vein similar to that shown in FIG. The pattern will be blurred or lost. Therefore, a portion including a faint or disappeared vein pattern generated on the peripheral side of the palm (portion similar to the vicinity area f1 as shown in FIG. 6) and a portion on the inner side (inner side) of the other palm. In the meantime, a reference axis similar to the reference axis X1 is provided, a coordinate similar to the starting point coordinate P is determined, and the first feature quantity and the second feature quantity are extracted and similar to the finger vein authentication processing described above. Processing can be performed.
 さらには、本発明は、静脈を利用して置かれた物体が生体であるか人工物であるかを判定したうえで本人認証するものであるため、上述した場合と同様の方法により、指や掌以外の静脈を有する様々な部位の生体を用いて本人認証することも可能である。また、上記実施の形態そのままに限定されるものではなく、上記実施の形態に開示されている複数の手法を適宜組み合わせて実施することももちろん可能である。 Furthermore, the present invention authenticates the person after determining whether an object placed using a vein is a living body or an artificial object. It is also possible to authenticate the person using a living body of various parts having veins other than the palm. Further, the present invention is not limited to the above-described embodiment as it is, and it is of course possible to combine a plurality of methods disclosed in the above-described embodiment as appropriate.
1000 静脈認証システム
100  指静脈認証装置
101  CPU(指静脈認証装置)
102  周辺装置I/Oポート(指静脈認証装置)
103  指静脈認証用照明LED
104  画像センサ
105  指検知センサ
106  主記憶装置(指静脈認証装置)
1061 本体装置制御プログラム
1062 周辺装置I/O制御プログラム(指静脈認証装置)
1063 認証プログラム
1064 指真贋判定プログラム
1065 第1特徴量バッファ
1066 第2特徴量バッファ
1067 画像バッファ
107  内部バス(指静脈認証装置)
200  情報処理装置
201  CPU(情報処理装置)
202  周辺装置I/Oポート(情報処理装置)
203  表示装置
204  キー入力装置
205  主記憶装置(情報処理装置)
2051 指静脈認証装置制御プログラム
2052 周辺装置I/O制御プログラム(情報処理装置)
2053 ガイダンス表示プログラム
206  内部バス(情報処理装置)
300  外部バス。
1000 vein authentication system 100 finger vein authentication device 101 CPU (finger vein authentication device)
102 Peripheral device I / O port (finger vein authentication device)
103 Illumination LED for finger vein authentication
104 Image sensor 105 Finger detection sensor 106 Main memory (finger vein authentication device)
1061 Main unit control program 1062 Peripheral device I / O control program (finger vein authentication device)
1063 Authentication program 1064 Finger authenticity determination program 1065 First feature value buffer 1066 Second feature value buffer 1067 Image buffer 107 Internal bus (finger vein authentication device)
200 Information Processing Device 201 CPU (Information Processing Device)
202 Peripheral device I / O port (information processing device)
203 Display Device 204 Key Input Device 205 Main Storage Device (Information Processing Device)
2051 Finger vein authentication device control program 2052 Peripheral device I / O control program (information processing device)
2053 Guidance display program 206 Internal bus (information processing device)
300 External bus.

Claims (13)

  1.  生体の静脈を用いて前記生体の真贋を判定する静脈認証システムであって、
     前記生体を置かせるためのガイドと、前記ガイドに置かれた前記生体の静脈画像を含む画像データを取得する画像センサとを有したセンサ部と、
     前記ガイドへの前記生体の押し付け具合を変える前の第1の状態で前記画像センサが取得した第1の画像データと、前記ガイドへの前記生体の押し付け具合を変えた後の第2の状態で前記画像センサが取得した第2の画像データとが所定の関係にあるか否かを判断し、この判断に基づいて前記ガイドに置かれた物体が生体であるか否かを判定する判定部と、
     を備えることを特徴とする静脈認証システム。
    A vein authentication system for determining the authenticity of a living body using a living body vein,
    A sensor unit having a guide for placing the living body, and an image sensor for acquiring image data including a vein image of the living body placed on the guide;
    In the second state after the first image data acquired by the image sensor in the first state before changing the degree of pressing of the living body against the guide and the state of pressing the living body against the guide A determination unit that determines whether or not the second image data acquired by the image sensor has a predetermined relationship, and determines whether or not the object placed on the guide is a living body based on the determination; ,
    A vein authentication system comprising:
  2.  前記判定部は、前記第1の画像データに含まれる静脈画像と、前記第2の画像データに含まれる静脈画像との間に静脈の相違があるか否かを判定し、前記静脈の相違があると判定した場合に、前記ガイドに置かれた物体が生体であると判定する、
     ことを特徴とする請求項1に記載の静脈認証システム。
    The determination unit determines whether there is a vein difference between the vein image included in the first image data and the vein image included in the second image data. When it is determined that there is an object, it is determined that the object placed on the guide is a living body.
    The vein authentication system according to claim 1.
  3.  前記センサ部は、前記第1の状態における生体と、前記第1の状態よりも押し付け力が大きい前記第2の状態における生体とを検知する、
     ことを特徴とする請求項1または2に記載の静脈認証システム。
    The sensor unit detects the living body in the first state and the living body in the second state having a larger pressing force than the first state.
    The vein authentication system according to claim 1 or 2.
  4.  前記センサ部は、前記生体が前記ガイドに自然に置かれた状態の生体を前記第1の状態の生体として検知し、前記生体が前記ガイドに押し付けられた状態の生体を前記第2の状態の生体として検知する、
     ことを特徴とする請求項1~3のいずれか1項に記載の静脈認証システム。
    The sensor unit detects a living body in which the living body is naturally placed on the guide as a living body in the first state, and detects a living body in a state in which the living body is pressed against the guide in the second state. Detect as a living body,
    The vein authentication system according to any one of claims 1 to 3, wherein:
  5.  あらかじめ本人として登録された前記生体の静脈画像を含む登録画像データと、前記第1の画像データまたは前記第2の画像データとに基づいて、前記本人を認証する認証部をさらに備え、
     前記判定部は、前記本人が認証された場合に前記ガイドに置かれた物体が生体であるか否かを判定し、前記ガイドに置かれた物体が生体であると判定した場合に、前記認証部による認証を確定させる、
     ことを特徴とする請求項1~4のいずれか1項に記載の静脈認証システム。
    An authentication unit for authenticating the person based on the registered image data including the vein image of the living body registered in advance as the person and the first image data or the second image data;
    The determination unit determines whether an object placed on the guide is a living body when the person is authenticated, and determines that the authentication is performed when the object placed on the guide is a living body. Confirm the authentication by the department,
    The vein authentication system according to any one of claims 1 to 4, wherein:
  6.  前記判定部は、前記登録画像データを分割し、分割後の登録画像データのそれぞれと、前記第1の画像データまたは前記第2の画像データのそれぞれに含まれる静脈の相違を調べ、前記静脈の相違がある場合に前記ガイドに置かれた物体が生体であると判定する、
     ことを特徴とする請求項5に記載の静脈認証システム。
    The determination unit divides the registered image data, examines the difference between veins included in each of the divided registered image data and the first image data or the second image data, and When there is a difference, it is determined that the object placed on the guide is a living body.
    The vein authentication system according to claim 5.
  7.  前記生体が前記ガイドに置かれていることを検知する検知センサをさらに備え、
     前記認証部は、前記検知センサが前記生体を検知し続けていない場合には、前記ガイドから前記生体が離れてすり替えられたと判定し、前記本人を認証する処理を中断させる、
     ことを特徴とする請求項5または6に記載の静脈認証システム。
    A detection sensor for detecting that the living body is placed on the guide;
    When the detection sensor does not continue to detect the living body, the authentication unit determines that the living body has been replaced from the guide and interrupts the process of authenticating the person.
    The vein authentication system according to claim 5 or 6.
  8.  前記判定部は、前記生体として前記静脈認証装置の利用者の指を用いて前記物体が生体であるか否かを判定する、
     ことを特徴とする請求項1~7のいずれか1項に記載の静脈認証システム。
    The determination unit determines whether the object is a living body using a finger of a user of the vein authentication device as the living body,
    The vein authentication system according to any one of claims 1 to 7, characterized in that:
  9.  生体の静脈を用いて前記生体の真贋を判定する静脈認証装置であって、
     前記生体を置かせるためのガイドと、前記ガイドに置かれた前記生体の静脈画像を含む画像データを取得する画像センサとを有したセンサ部と、
     前記ガイドへの前記生体の押し付け具合を変える前の第1の状態で前記画像センサが取得した第1の画像データと、前記ガイドへの前記生体の押し付け具合を変えた後の第2の状態で前記画像センサが取得した第2の画像データとが所定の関係にあるか否かを判断し、この判断に基づいて前記ガイドに置かれた物体が生体であるか否かを判定する判定部と、
     前記画像センサが前記第1の画像データを取得する際に前記第1の状態における前記ガイドに対する生体の置き方を案内する第1の表示を前記表示部に表示させ、前記画像センサが前記第2の画像データを取得する際に前記第2の状態における前記ガイドに対する生体の置き方を案内する第2の表示を前記表示部に表示させる制御部と、
     を備えることを特徴とする静脈認証装置。
    A vein authentication device for determining the authenticity of a living body using a living body vein,
    A sensor unit having a guide for placing the living body, and an image sensor for acquiring image data including a vein image of the living body placed on the guide;
    In the second state after the first image data acquired by the image sensor in the first state before changing the degree of pressing of the living body against the guide and the state of pressing the living body against the guide A determination unit that determines whether or not the second image data acquired by the image sensor has a predetermined relationship, and determines whether or not the object placed on the guide is a living body based on the determination; ,
    When the image sensor acquires the first image data, the display unit displays a first display for guiding how to place a living body on the guide in the first state, and the image sensor performs the second display. A control unit that causes the display unit to display a second display that guides how to place the living body with respect to the guide in the second state when acquiring the image data;
    A vein authentication device comprising:
  10.  前記制御部は、前記センサ部が検知した前記第1の状態の生体についての前記第1の表示と、前記センサ検知部が検知した前記第1の状態よりも押し付け力が大きい前記第2の状態の生体についての前記第2の表示とを前記表示部に表示させる、
     ことを特徴とする請求項9に記載の静脈認証装置。
    The control unit includes the first display of the living body in the first state detected by the sensor unit, and the second state having a greater pressing force than the first state detected by the sensor detection unit. Displaying the second display of the living body on the display unit,
    The vein authentication apparatus according to claim 9.
  11.  前記生体が前記ガイドに置かれていることを検知する検知センサをさらに備え、
     前記制御部は、前記生体の押し付け圧が所定の値よりも大きいか否かを判定し、前記検知センサが検知した生体の押し付け圧が所定の値よりも大きいと判定した場合、前記生体の静脈画像が消失する可能性が高いと判断し、前記表示部に前記生体の押し付け圧を弱めるガイダンスを表示させる、
     ことを特徴とする請求項9または10に記載の静脈認証装置。
    A detection sensor for detecting that the living body is placed on the guide;
    The control unit determines whether or not the living body pressing pressure is greater than a predetermined value, and determines that the living body pressing pressure detected by the detection sensor is greater than a predetermined value. Judging that there is a high possibility that the image will disappear, and displaying guidance for reducing the pressure of the living body on the display unit,
    The vein authentication device according to claim 9 or 10.
  12.  生体を置かせるためのガイドと画像センサとを有したセンサ部を有し、前記生体の静脈を用いて前記生体の真贋を判定する静脈認証システムで行われる静脈認証方法であって、
     前記画像センサにより前記ガイドへの前記生体の押し付け具合を変える前の第1の状態で前記生体の静脈画像を含む第1の画像データを取得する第1の取得ステップと、
     前記画像センサにより前記ガイドへの前記生体の押し付け具合を変えた後の第2の状態で前記生体の静脈画像を含む第2の画像データを取得する第2の取得ステップと、
     前記第1の画像データと前記第2の画像データとが所定の関係にあるか否かを判断し、この判断に基づいて前記ガイドに置かれた物体が生体であるか否かを判定する判定ステップと、
     を含むことを特徴とする静脈認証方法。
    A vein authentication method performed in a vein authentication system that includes a sensor unit having a guide for placing a living body and an image sensor and determines the authenticity of the living body using a vein of the living body,
    A first acquisition step of acquiring first image data including a vein image of the living body in a first state before changing the degree of pressing of the living body against the guide by the image sensor;
    A second acquisition step of acquiring second image data including a vein image of the living body in a second state after changing the degree of pressing of the living body against the guide by the image sensor;
    Judgment whether or not the first image data and the second image data are in a predetermined relationship, and whether or not the object placed on the guide is a living body based on this judgment Steps,
    A vein authentication method comprising:
  13.  あらかじめ本人として登録された前記生体の静脈画像を含む登録画像データと、前記第1の画像データまたは前記第2の画像データとに基づいて、前記本人を認証する認証ステップをさらに含み、
     前記判定ステップでは、前記認証ステップにおいて前記本人が認証された場合に前記ガイドに置かれた物体が生体であるか否かを判定し、前記ガイドに置かれた物体が生体であると判定した場合に、前記認証ステップにおける認証を確定させる、
     ことを特徴とする請求項12に記載の静脈認証方法。
    An authentication step of authenticating the person based on the registered image data including the vein image of the living body registered in advance as the person and the first image data or the second image data;
    In the determination step, it is determined whether or not the object placed on the guide is a living body when the person is authenticated in the authentication step, and the object placed on the guide is determined to be a living body. To confirm the authentication in the authentication step,
    The vein authentication method according to claim 12.
PCT/JP2012/075766 2012-03-26 2012-10-04 Vein authentication system, vein authentication device and vein authentication method WO2013145386A1 (en)

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