JP2015176331A - Authentication apparatus, authentication method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an authentication apparatus capable of reliably performing authentication of individuals without requiring precise information.SOLUTION: The authentication apparatus includes: feature quantity extraction means that extracts feature quantities in a part including a direction represented by the part from an image taken by an authenticator and extracts a contour of a part used for authentication on the basis of the extracted contour; and collation means that determines the property of the authentication by collating the feature quantity of the part extracted based on the image which is previously taken by the authenticator and the feature quantity of the part which is extracted by the feature quantity extraction means.

Description

  The present invention relates to a technique for performing authentication using body characteristics.

  The demand for ensuring security has increased with the advancement of advanced information technology, and various authentication techniques for authenticating individuals have been developed to meet this demand. For example, as an authentication technique, a technique for performing authentication using a card, fingerprint, vein, password input, or the like has been developed.

  In order to perform authentication using a card, a card associated with an individual is distributed in advance to an authenticator (a person who receives authentication). The authenticator causes the card reader to read the card when receiving authentication. The authentication device collates the card registered in advance with the card read by the card reader, and determines that the authentication is successful if they match.

  Similarly, in biometric authentication using fingerprint authentication, vein authentication, or iris, the authenticator causes the biometric information reader to read biometric information such as a fingerprint when receiving authentication. Then, the authentication device collates the biometric information with previously registered authentication data, and determines that the authentication is successful if they match.

  Further, in authentication using password input or handwriting pattern input, information on the hand input by the certifier is visually recognized and input work is performed. The authentication device determines success or failure of authentication by comparing the input information with data registered in advance.

  For example, Patent Document 1 discloses a biometric authentication device that can perform high-accuracy authentication at high speed with simple registration even if the degree of freedom in placing the palm is improved.

  Patent Document 2 discloses an operation instruction recognition device that allows only a specific person to perform an operation instruction reliably and prohibits operation instructions by other persons.

  Patent Document 3 discloses a biological pattern imaging device that reduces the influence of external light during biological pattern imaging.

  Patent Document 4 discloses a gesture input device that provides a user with an intuitive and easy-to-understand interface and enables a complicated input operation.

JP 2012-234440 A JP 2011-221699 A JP 2009-276860 A JP 2009-042796 A

  As mentioned above, there is a technology to authenticate using a card as an authentication technology, but if someone else can obtain the card in some form such as theft, impersonation can be done easily, so authenticate individuals securely. There is a problem that is difficult.

  In biometric authentication using fingerprint authentication, vein authentication, or iris, etc., there is a problem that high accuracy is required for collecting data used for verification, and complicated processing is required to maintain the accuracy. .

  Also, in authentication using password input or handwriting pattern input, input data may be leaked to a third party in the worker's input environment, so it is still difficult to authenticate an individual reliably.

  Even the authentication techniques disclosed in Patent Documents 1 to 4 have problems that high-precision data is required and cases where personal authentication cannot be performed reliably occur.

  The present invention has been made in view of the above problems, and has as its main object to provide an authentication device and the like that can authenticate an individual reliably without requiring highly accurate information.

  The first authentication device of the present invention extracts a contour of a part used for authentication from a captured image obtained by capturing an authenticator and, based on the extracted contour, includes the direction indicated by the part. A feature amount extracting means for extracting a feature amount; a feature amount of the part extracted based on a captured image captured in advance by the authenticator; and a feature amount of the part extracted by the feature amount extracting means. Collating means for judging success or failure of the authentication by collating.

  The first authentication method of the present invention extracts a contour of a part used for authentication from a captured image obtained by capturing an authenticator and, based on the extracted contour, includes a direction indicated by the part. Success or failure of authentication is determined by extracting feature quantities and comparing the extracted feature quantities of the part with the extracted feature quantities of the part based on a captured image captured by the certifier in advance. To do.

  This object is also achieved by a computer program that implements the authentication apparatus or authentication method having the above-described configurations by a computer, and a computer-readable storage medium that stores the computer program.

  According to the present invention, it is possible to obtain an effect that high-accuracy information is unnecessary and reliable authentication is possible.

It is a figure which shows the structure of the authentication apparatus which concerns on the 1st Embodiment of this invention. It is a flowchart which shows operation | movement of the authentication apparatus which concerns on the 1st Embodiment of this invention. It is a figure which shows the example of the shape of the left hand which an authenticator forms in the authentication apparatus which concerns on the 1st Embodiment of this invention. It is a flowchart explaining the operation | movement which extracts vector information from image data by the vector calculation part with which the authentication apparatus which concerns on the 1st Embodiment of this invention is provided. (A) And (b) is a figure which shows the image data of the finger | toe which the authentication apparatus based on the 1st Embodiment of this invention acquired, (c) and (d) were extracted from the image data It is a figure which shows outline data. (A) And (b) is a figure explaining the vector extraction by the vector calculation part with which the authentication apparatus which concerns on 1st Embodiment is provided. It is a figure explaining the other example of the vector extraction by the vector calculation part with which the authentication apparatus which concerns on 1st Embodiment is provided. It is a figure which shows the structure of the authentication apparatus which concerns on the 2nd Embodiment of this invention. It is a figure which illustrates the hardware constitutions of the authentication apparatus which concerns on each embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

First Embodiment FIG. 1 is a block diagram showing a configuration of an authentication device 100 according to a first embodiment of the present invention. As illustrated in FIG. 1, the authentication device 100 includes authentication boxes 110 a and 110 b, an image memory 120, a collation timing determination unit 130, a vector calculation unit 140, a collation pattern dictionary unit 150, a collation determination unit 160, and an authentication control unit 170. .

  The authentication box 110a includes a camera 111a, a push button 112a, and a light source 113a. Similarly, the authentication box 110b includes a camera 111b, a push button 112b, and a light source 113b.

  The authentication device 100 authenticates an individual using body characteristics extracted from image data (captured image) obtained by capturing a part or all of the body of an authenticator (a person who receives authentication).

  An outline of each component included in the authentication device 100 will be described.

  The authentication box 110a is a box where the inside cannot be seen from the outside, such as a dark room box, for example, and the features of the authenticator such as a part or all of the body of the authenticator are acquired therein. The push button 112a determines the authentication timing in response to being pushed by the authenticator.

  The camera 111a is a so-called electronic camera such as a CCD (Charge Coupled Device). The camera 111a captures an imaging target in the authentication box 110a based on an instruction from the collation timing determination unit 130 and acquires image data including the imaging target. The light source 113a adjusts the brightness in the authentication box 110a so that the imaging target is appropriately captured by the camera 111a. The authentication box 110b also has the same configuration as the authentication box 110a, and the camera 111b, the push button 112b, and the light source 113b have the same configuration as the camera 111a, the press button 112a, and the light source 113a, respectively, and thus description thereof is omitted.

  The image memory 120 stores image data acquired by the camera 111a. When the collation timing determination unit 130 detects that the push button 112a has been pressed, it instructs the camera 111a to take an image. The collation determination unit 160 collates the vector information (feature amount) calculated from the image data stored in the image memory 120 with the vector information stored in the collation pattern dictionary unit 150, thereby determining the success or failure of the authentication. To do.

  The matching pattern dictionary unit 150 stores image data obtained by capturing a part or all of the body of the certifier and vector information extracted from a part (for example, a finger) used for authentication in the image data. The authentication control unit 170 performs control based on the authentication success / failure determination result by the verification determination unit 160.

  FIG. 2 is a flowchart showing the operation of the authentication device 100. A specific operation of the authentication device 100 will be described with reference to FIG.

  For example, the operation of the authentication apparatus 100 when the body part of the certifier used for authentication is “left finger” will be described. Here, the authenticator images the left-hand image data in advance using the camera 111a or other imaging means. The vector calculation unit 140 extracts vector information from the image data, and stores the vector information in the matching pattern dictionary unit 150 (details will be described later).

  The authenticator forms a left hand in the authentication box 110a. FIG. 3 is a diagram illustrating an example of the shape of the left hand formed by the authenticator. The left hands 21 and 22 shown in FIG. 3 both show a closed hand shape (Janken Goo), but the thumbs are folded differently. That is, the left hand 21 shows a shape in which the thumb is folded inside the hand and is wrapped in the forefinger and middle finger, and the left hand 22 shows a shape in which the thumb is not folded inside the hand.

  The left hands 23 and 24 both have a shape in which the forefinger and the middle finger are outside and the other three fingers are closed (a joke), but the directions of the forefinger and the middle finger are different. That is, the left hand 23 shows a shape that opens between the index finger and the middle finger, and the left hand 24 shows a shape that closes between the index finger and the middle finger.

  The left hands 25 and 26 both have a shape in which all fingers are stretched (a parquet), but each finger has a different direction. That is, the left hand 25 shows a shape in which the fingers are open, and the left hand 26 shows a shape in which the fingers are closed.

  In the authentication box 110a, the authenticator determines, for example, one of the shapes shown in FIG. 3 with the left hand 115a and presses the push button 112b with the right hand 115b to determine the authentication timing (step ST210). Here, the determination of the authentication timing is not limited to the pressing of the push button 112b, but may be determined by a guide displayed on the screen display device 116, a voice instruction from the speaker 117, voice recognition by the microphone 118, or the like. Good.

  When the collation timing determination unit 130 detects that the push button 112b has been pressed, the collation timing determination unit 130 instructs the camera 111a to image the left hand 115a (step ST220). The camera 111a stores image data (digitized electrical signal) obtained by imaging the left hand 115a in the image memory 120 (step ST230).

  Subsequently, the vector calculation unit 140 performs a vector information extraction process for extracting vector information from the image data stored in the image memory 120 (step ST240). FIG. 4 is a flowchart for explaining vector information extraction processing by the vector calculation unit 140. The vector information extraction process will be described with reference to FIG.

  The vector calculation unit 140 extracts a region of a part (here, “finger of the left hand”) included in the image data by performing edge processing on the boundary of the finger (step ST241). FIG. 5 is a diagram showing finger image data (a) and (b) and contour data (c) and (d) extracted from the image data. As illustrated in FIG. 5, the vector calculation unit 140 extracts a finger region (contour) by performing edge processing on image data.

  Subsequently, the vector calculation unit 140 extracts two vectors having a length that is parallel to the longitudinal direction of the finger and that forms a side of the finger and is associated with the length of the finger based on the contour of the finger ( Step ST242). 6A and 6B are diagrams for explaining vector extraction. As shown in FIG. 6A, the vector calculation unit 140 generates vectors 250, 251 as vectors having a length parallel to the longitudinal direction of the finger and constituting the side of the finger and associated with the length of the finger. To extract.

  Subsequently, the vector calculation unit 140 calculates a finger vector (for example, the vector 252 shown in FIG. 6) by calculating the average of the two extracted vectors (step ST243). The vector calculation unit 140 calculates a finger vector related to each finger included in the contour data. The finger vector calculated in this way is not individual-specific biometric information but information that can be handled as one of symbols.

  For example, in the examples shown in FIGS. 6A and 6B, finger vectors related to the index finger, middle finger, ring finger, and little finger have the same or substantially the same direction and length as each other in (a) and (b). The finger vectors for the thumb have different directions.

  FIG. 7 is a diagram illustrating another example related to finger vector extraction. As illustrated in FIG. 7, the vector calculation unit 140 may extract a finger vector related to a closed finger as well as a finger vector related to an open finger. As described above, the vector calculation unit 140 extracts vector information regarding each finger.

  Subsequently, the vector calculation unit 140 notifies the collation determination unit 160 of the calculated finger vector. Collation determining section 160 collates the received finger vector with vector information stored in collation pattern dictionary section 150 (step ST250).

  Here, it is assumed that the finger vector related to the thumb acquired from the vector calculation unit 140 is the vector X, and the finger vector related to the thumb stored in the matching pattern dictionary unit 150 in advance is the vector Y. In addition, for example, it is assumed that an allowable value serving as a criterion for an experimentally calculated determination error is an allowable value R. In this case, the collation determination unit 160 determines the success or failure of the finger vector authentication regarding the thumb as follows.

(R> | X−Y |) Authentication success (R ≦ | X−Y |) Authentication failure where | X−Y | is the absolute value of the difference between vector X and vector Y. Show.

  The collation determination unit 160 also determines the success or failure of authentication for the finger vectors related to other fingers as described above (step ST260). If the verification determination unit 160 determines that all the fingers are successfully authenticated, the verification unit 160 determines that the authenticator is a registered person (authentication successful).

  The collation determination unit 160 notifies the authentication control unit 170 of the determination result. Authentication control section 170 performs control set in advance based on the notified determination result (step ST270). That is, when receiving a notification of successful authentication, the authentication control unit 170 opens, for example, a door that allows only registered persons to enter the room. Alternatively, the authentication control unit 170 controls to make a cash payment in an ATM (Automated Teller Machine) or a CD (cash dispenser). Further, upon receiving a notification of authentication failure, the authentication control unit 170 performs control such as sounding an alarm buzzer.

  As described above, the number of pieces of information used for authentication is proportional to the number of fingers, that is, the number of vectors. In the present embodiment, as described above, the finger vector for each finger of one hand is calculated and used for authentication. However, the present invention is not limited to this, and the finger vector for each finger of the other hand may also be calculated. . Further, image data obtained by capturing the whole body of the authenticator may be acquired, and a vector related to, for example, an arm or a leg may be calculated based on the image data.

  Furthermore, in the present embodiment, it has been described that a part or all of the body is imaged using one camera and a two-dimensional vector is calculated based on the image data, but the present invention is not limited to this. That is, a part or all of the body may be imaged from a plurality of angles by a plurality of cameras, and a three-dimensional vector may be calculated based on the image data. Thus, the accuracy of authentication can be improved by increasing the number of vectors used for authentication.

  The matching pattern dictionary unit 150 may store the vector information in association with the personal identification information. In this case, the collation determination unit 160 may ask the certifier to input identification information, and may collate the input identification information and vector information, and personal information and vector information stored in the collation pattern dictionary unit 150. Good.

  As described above, according to the first embodiment, the camera 111a images part or all of the body of the authenticator, and the vector calculation unit 140 is based on the image data obtained by the imaging. Vector information about a part used for authentication is extracted. The collation determination unit 160 collates the extracted vector information with the vector information calculated from the image data of the authenticator stored in advance in the collation pattern dictionary unit 150, thereby determining the success or failure of the authentication.

  With this configuration, according to the first embodiment, authentication is performed using vector information extracted from body features rather than high-precision information indicating personal biometric information such as fingerprints and irises. An effect is obtained that it is possible to authenticate an individual without requiring processing.

  Moreover, since authentication is performed using vector information instead of biometric information as described above, an effect that ethics does not become a problem can be obtained. In addition, authentication information is never leaked due to card theft, etc., and authentication information is never leaked because it is not necessary to see in the environment where the authenticator inputs authentication information. The effect that it is possible is obtained.

Second Embodiment FIG. 8 is a block diagram showing a configuration of an authentication device 300 according to a second embodiment of the present invention. As illustrated in FIG. 8, the authentication device 300 includes a feature amount extraction unit 301 and a collation unit 302.

  The feature amount extraction unit 301 extracts a contour of a part used for authentication from a captured image captured by the certifier, and based on the extracted contour, calculates a feature quantity of the part including the direction indicated by the part. Extract. The collation unit 302 performs authentication by collating the feature amount of the part extracted based on the captured image captured by the certifier in advance with the feature amount of the part extracted by the feature amount extraction unit 301. Determine success or failure.

  The feature amount extraction unit 301 corresponds to the vector calculation unit 140 in the first embodiment. The matching unit 302 corresponds to the matching determination unit 160 in the same manner.

  By adopting the above configuration, according to the second embodiment, it is possible to obtain an effect that high-accuracy information is unnecessary and reliable authentication is possible.

  Note that each unit included in the authentication devices 100 and 300 illustrated in FIGS. 1 and 8 is realized by the hardware resources illustrated in FIG. 9. 9 includes a CPU (Central Processing Unit) 10, a RAM (Random Access Memory) 11, a ROM (Read Only Memory) 12, an external connection interface 13, and a storage medium 14. The CPU 10 governs the overall operation of the authentication devices 100 and 300 by reading various software programs (computer programs) stored in the ROM 12 or the storage medium 14 into the RAM 11 and executing them. That is, in each of the embodiments described above, the CPU 10 executes a software program that executes each function (each unit) included in the authentication devices 100 and 300 while appropriately referring to the ROM 12 or the storage medium 14.

  Moreover, in each embodiment mentioned above, about the case where the function shown to each block in the authentication apparatuses 100 and 300 shown to FIG. 1, FIG. 8 is implement | achieved by a software program as an example which CPU10 shown in FIG. 9 performs. explained. However, some or all of the functions shown in the blocks shown in FIGS. 1 and 8 may be realized as hardware.

  Further, in the present invention described by taking each embodiment as an example, after the computer program capable of realizing the functions described above is supplied to the authentication devices 100 and 300, the CPU 10 reads the computer program into the RAM 11. To achieve.

  The supplied computer program may be stored in a computer-readable storage device such as a readable / writable memory (temporary storage medium) or a hard disk device. In such a case, the present invention can be understood as being configured by a code representing the computer program or a storage medium storing the computer program.

  The present invention can be applied to, for example, an authentication device used for authentication when permitting only a pre-registered person to enter a room.

10 CPU
11 RAM
12 ROM
13 External connection interface 14 Storage medium 100, 300 Authentication device 110a, 110b Authentication box 111a, 111b Camera 112a, 112b Press button 113a, 113b Light source 120 Image memory 130 Collation timing determination unit 140 Vector calculation unit 150 Collation pattern dictionary unit 160 Collation determination Unit 170 authentication control unit 301 feature amount extraction unit 302 verification unit

Claims (8)

Feature amount extraction means for extracting a contour of a part used for authentication from a captured image captured by the certifier and extracting a feature amount of the part including the direction indicated by the part based on the extracted contour; ,
The success or failure of authentication is determined by comparing the feature quantity of the part extracted based on the captured image obtained by the certifier in advance with the feature quantity of the part extracted by the feature quantity extraction unit. An authentication device comprising a verification means. The authentication apparatus according to claim 1, wherein the feature amount extraction unit extracts a feature amount of the part including a direction indicated by the part based on a plurality of directions parallel or substantially parallel to a longitudinal direction of the part. The feature amount extraction unit calculates a plurality of vectors having a length that is parallel or substantially parallel to the longitudinal direction of the part and has a length associated with the length of the part, and calculates an average of the plurality of vectors as the feature of the part. The authentication device according to claim 1, wherein the authentication device is extracted as a quantity. Imaging means for imaging the authenticator;
The authentication device according to any one of claims 1 to 3, further comprising an accommodating unit that accommodates the part so as not to be seen from outside during the imaging. Extracting the contour of the part used for authentication from the captured image captured by the authenticator, and extracting the feature amount of the part including the direction indicated by the part based on the extracted contour,
An authentication method for determining success or failure of authentication by collating a feature amount of the part extracted based on a captured image captured in advance by the authenticator with a feature quantity of the extracted part. The authentication method according to claim 5, wherein the feature amount of the part including the direction indicated by the part is extracted based on a plurality of directions parallel or substantially parallel to the longitudinal direction of the part. 6. A plurality of vectors having a length parallel to or approximately parallel to the longitudinal direction of the part and having a length associated with the length of the part are calculated, and an average of the plurality of vectors is extracted as a feature amount of the part. Or the authentication method of Claim 6. A process of extracting a contour of a part used for authentication from a captured image captured by the authenticator, and extracting a feature amount of the part including a direction indicated by the part based on the extracted contour;
A process of determining success or failure of authentication by comparing the feature quantity of the part extracted based on the captured image obtained by the certifier in advance with the extracted feature quantity of the part. A program to be executed.