KR20170077995A - Method for Certificating Fingerprint of Real Living Body by using Sweat Pore and Micro Sweat - Google Patents

Abstract

The present invention relates to an actual biometric fingerprint authentication method using pore holes and fine sweating, and an actual biometric fingerprint authentication method using pore holes and fine sweating according to the present invention is implemented by a device including a sensor unit capable of sensing a fingerprint Wherein the sensor unit senses the user's body part N (N > = 3) times in units of a predetermined sensing period ms and checks the position of the pore on the fingerprint ridge using at least one recognition data among the N recognition data (M < = m < M) recognition data included in M (M? 3) pieces of recognition data generated in units of ms, (M-1) pieces of differential data including m-th subtraction data generated by subtracting the sensing value of the m-th recognition data from the sensing value of the (m + 1) A third step of reading out the generated difference data and discriminating at least one difference singular point area in which a difference value on a ridge area has exceeded a specified threshold value from a specified difference base value as a fine bird's beak area; And a fourth step of comparing the pore position and the minute sweeter area to authenticate that the minute sweeter area matches the pore position within the tolerance range.

Description

TECHNICAL FIELD [0001] The present invention relates to a method for authenticating a biometric fingerprint using a pore and fine sweating,

The present invention uses a sensor unit capable of sensing a fingerprint to sense a user's body part including a fingerprint a plurality of times at a designated cycle to check the position of the fingerprint ridge and to detect a minute sweaty area where fine sweat is generated irregularly on the fingerprint ridge And verifies whether the fine sweeter area matches the position of the pore area with the tolerance range by comparing the pore position and the minute sweeter area to authenticate the actual fingerprint pattern of the living body.

With the recent activation of smart phones, a fingerprint module is embedded in a smart phone, and fingerprint recognition is used for operations or services requiring various security. It is expected that fingerprints will be more useful in the future than other living bodies because recognition process is convenient.

On the other hand, since fingerprint recognition is convenient, the possibility of forgery is easy. When fingerprint recognition is attempted by simulating fingerprints through materials having physical, chemical, and electrical characteristics similar to the epidermis of a human body, the conventional fingerprint recognition technology has a very difficult problem to exclude such simulated fingerprints. For example, when fingerprints are simulated using Gummi, which is very similar to the skin composition of the human body, it is very difficult to exclude such simulated fingerprints through conventional fingerprint recognition technology.

Examples of techniques for excluding such simulated fingerprints include Japanese Patent Application Laid-Open Nos. 2000-123143, 10-302047, 2000-194848, and 2000-172833, 10-2005-0051659 and the like.

However, in the technique disclosed in Japanese Patent Application Laid-Open No. 2000-123143 and Japanese Patent Application Laid-Open No. 10-302047, it is determined whether or not the subject is a living body by the current value of the subject, the capacitance, the electric resistance, , It is difficult to exclude a simulated fingerprint using a substance having chemical and electrical characteristics. In the technique disclosed in Japanese Patent Application Laid-Open No. Hei 10-370295, a counterfeit fingerprint is judged based on whether or not the electrostatic sensor responds. 2000-172833, it is difficult to exclude a simulated fingerprint using materials having physical, chemical and electrical characteristics similar to those of the skin of a human being, because the forgery fingerprint is judged by the frequency characteristic of impedance, which is an electrical characteristic . Korean Patent Laid-Open No. 10-2005-0051659 discloses a method of detecting a living body by using the presence or absence of sweat when scanning a sweep method of a fingerprint. However, in the case of a substance having physical, chemical and electrical characteristics similar to the skin of a human body It is difficult to exclude water if it is attempted to recognize it.

In order to solve the above problems, an object of the present invention is to provide a method and apparatus for sensing a body part of a user including a fingerprint by using a sensor part capable of sensing a fingerprint in N (N > = 3) (M > = 3) pieces of recognition data generated in units of a specified fine-grained identification period ms among the N pieces of recognition data, using at least one recognition data among the generated N pieces of recognition data, (M + 1) -th recognition data by subtracting the sensing value of the m-th recognition data from the sensing value of the (m + 1) -th recognition data by matching the included m (M-1) pieces of difference data including m-subtraction data are generated and read to discriminate a minute sweeter area, and then the sweat hole position and the minute sweeter area are compared with each other, It authenticates that match within a tolerance range, the actual biometric fingerprint authentication method using the micro-pores and perspiration to authenticate a fingerprint pattern of a real living body to provide.

A method of authenticating a biometric fingerprint using pores and fine sweating according to the present invention is a method of authenticating a biometric fingerprint using an apparatus having a sensor unit capable of sensing a fingerprint, The method comprising: a first step of validating N (N > = 3) validation units in units of N pieces of recognition data to identify positions of pores on a fingerprint ridge using at least one piece of recognition data among N pieces of recognition data; (M + 1) -th recognition data included in the M (M? 3) pieces of recognition data generated in units of (m + 1) (M-1) pieces of difference data including m-th difference data generated by subtracting the sensing value of the m-th recognition data from the m-th recognition data, car A third step of discriminating at least one differential region of the at least one differential sphere having a value that is equal to or greater than a specified threshold value as a fine sweeter region by comparing the pawl position and the minute sweeter region with each other, And a fourth step of authenticating whether the matching is within the range.

According to another aspect of the present invention, there is provided a method for authenticating a living body fingerprint, comprising the steps of: checking a contact state of a user's body part through the sensor unit; And starting effective sensing.

According to another aspect of the present invention, there is provided a method of authenticating a biometric fingerprint, the method comprising: sensing a user's body part in contact with the sensor unit in a predetermined sensing period ms; And starting to acquire the data.

According to another aspect of the present invention, there is provided a method of authenticating a living body fingerprint, comprising the steps of: confirming disconnection of a body part during effective sensing of a user's body part in contact with the sensor part in a specified sensing period ms; Determining whether a minimum sensing time set for authenticating the body fluids has elapsed since the start of effective sensing of the body part at the time of confirmation of disconnection; and terminating the body fluids authentication process when the minimum sensing time has not elapsed The method comprising the steps of:

According to another aspect of the present invention, there is provided a method for authenticating a living body fingerprint, comprising the steps of: confirming an elapsed sensing time from a time point at which effective sensing starts at a specified sensing period ms in a user's body part contacting the sensor unit; Checking whether the maximum sensing time set for authenticating the living body sweating is exceeded, and performing a procedure of stopping or resuming effective sensing of the body part when the maximum sensing time is exceeded .

According to the present invention, the first step may include generating recognition data in which a sensing value corresponding to the ridge area and a sensing value corresponding to the bony area are distinguishably corrected. Meanwhile, in the first step, the sensing value corresponding to the ridge area and the sensing value corresponding to the bony area are discriminately corrected, and the recognition value corrected so as not to damage the sensing value corresponding to the pore disposed on the ridge area For example. The first step may include generating recognition data in which at least one of contrast, contrast, and saturation of the sensed values is corrected so as to distinguish the ridge region and the bony region. Meanwhile, in the first step, recognition data obtained by correcting at least one noise among noise due to a sensor provided in the sensor unit, noise during a sensing process through the sensor unit, and noise due to contamination of a body part in contact with the sensor unit, And a step of generating the data.

According to the present invention, in the actual biometric fingerprint authentication method, the correction coefficient for matching the base sensing value of the ridge area of the (m + 1) recognition data with the base sensing value of the ridge area of the m-th recognition data Wherein the second step includes generating m-th order data by subtracting a sensed value of the m-th recognized data from a sensed value of the (m + 1) -th recognized data based on the correction coefficient .

According to the present invention, the actual biometric fingerprint authentication method may further include calculating an average of difference values of the generated difference data with respect to the ridge region, and determining the difference value as a difference base value with respect to the ridge region.

According to the present invention, the actual biometric fingerprint authentication method further comprises: calculating a difference value distribution for the ridge area of the generated difference data; and calculating a value belonging to the specified distribution area on the difference value distribution as a difference base value of the ridge area And a step of deciding whether or not to perform a search.

According to the present invention, the third step may include discriminating the differential outlier region identified by the at least one difference data among (M-1) pieces of difference data as the superfluous region.

According to the present invention, by authenticating whether a fingerprint identified through a fingerprint recognition and matching process is obtained by sensing a body part of an actual user, it is possible to use a substance having physical, chemical and electrical characteristics similar to the skin of a human body, Even if the fingerprints are copied, it can be authenticated only to the living user, which responds biologically, to the minute sweating, and all kinds of fingerprint simulations and the threat of hacking by forgery and falsification are fundamentally blocked.

According to the present invention, there is an advantage in that all kinds of fingerprint simulations for simulating fine sweating in the simulated fingerprint and the threat of hacking by forgery and falsification are fundamentally blocked by authenticating whether the fine sweat is generated at the position of the pore formed on the fingerprint ridge.

According to the present invention, there is an advantage in that identification and authentication are simultaneously provided through a single fingerprint by using the fingerprint matching as identification means for identifying the user and using the position of the pore as an authentication means for authenticating that the fingerprint is an actual user.

According to the present invention, there is an advantage in that fingerprint matching is used as identification means for identifying a user, and the fine sweating is used as an authentication means for authenticating that the fingerprint is a real user, thereby simultaneously providing identification and authentication through one fingerprint.

According to the present invention, the fingerprint matching is used as the identification means for identifying the user, and the result of the matching between the position of the pore and the fine sweating is used as the authentication means for authenticating the fingerprint of the actual user, There is an advantage to provide.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a view showing a cross-sectional structure of a skin against sweat glands formed on a human body;
2 is a view illustrating an optical image of a ridge, a bone, and a pore formed in a fingerprint of a human body.
FIGS. 3A to 3F are diagrams showing cross-sectional structures of a ridge, a bone, and a pore formed in a fingerprint of a human body.
Figs. 4A and 4B are views showing images obtained by optically photographing fine swellings of pores formed in a ridge of a fingerprint. Fig.
5A to 5C are diagrams showing sweating patterns of the human body.
6A and 6B are views showing a cross-sectional structure for sensing a ridge, a bone, and a pore formed in a fingerprint of a human body.
7 is a functional block diagram of a device for authenticating a fingerprint of a living body using pore holes and fine sweating according to an embodiment of the present invention.
8A to 8C are diagrams illustrating the relationship between the recognition data and the differential point region according to the method of the present invention.
9 is a diagram illustrating a process of actually authenticating a fingerprint of a living body in the method of the present invention.

The operation principle of the preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings and description. It should be understood, however, that the drawings and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention, and are not to be construed as limiting the present invention.

In other words, the following embodiments correspond to the preferred embodiment of the preferred embodiment of the present invention. In the following embodiments, a specific configuration (or step) is omitted, or a specific configuration (or step) (Or steps), or an embodiment that incorporates functions implemented in more than one configuration (or step) into any one configuration (or step), a particular configuration (or step) It will be apparent that the present invention is not limited to the embodiments described below.

In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. The terms used below are defined in consideration of the functions of the present invention, which may vary depending on the user, intention or custom of the operator. Therefore, the definition should be based on the contents throughout the present invention.

As a result, the technical idea of the present invention is determined by the claims, and the following embodiments are merely means for effectively explaining the technical idea of the present invention to a person having ordinary skill in the art to which the present invention belongs Only.

FIG. 1 is a view showing a skin cross-sectional structure for the sweat glands formed on the human body.

There are two types of sweat glands in the human body: eccrine sweat glands and apocrine sweat glands. Apocrine sweat glands are sweat glands that are formed with hair and sebaceous glands. They are distributed in the armpits, outer ear (outer ear canal), eyelids, etc., and the eczrine sweat glands are sweat glands distributed throughout the skin except the glans part of the body, Among them, eccrine sweat glands are mainly distributed in the palms, soles, underarms, and forehead skin. The sweat produced from each sweat gland migrates along the sweat glands and sweats through the sweat pores. The size of the sweat glands is about 50 times smaller than the thickness of the hair (about 50 μm to 70 μm).

2 is a view illustrating an optical image of a ridge, a bone, and a pore formed in a fingerprint of a human body.

Ridges of the fingerprint are formed along the positions of the sweat glands in fingers or toes of the body parts of the human body, and valleys are formed between ridges and ridges. That is, the ridge of the fingerprint is a ridge of the skin along the sweat glands formed on the finger or the toe. Some rinse sweat glands are distributed mainly in ridge of fingerprints, but some of apocrine glands may be formed.

Male ridges are formed at intervals of 200 μm to 850 μm and average distances are measured at about 460 μm. In the case of females, ridges are formed at intervals of 200 μm to 750 μm, and the average distance is measured to be about 410 μm. Also, the distance between pores is formed at intervals of 200 mu m to 1500 mu m, and the average distance is measured to be about 830 mu m. However, the above figures are average statistics and the actual distance may vary from person to person.

FIGS. 3A to 3F are views showing cross-sectional structures of ridges, bones, and pores formed in a fingerprint of a human body.

In more detail, FIGS. 3A to 3F show a short structure when the fingerprint of the human body is directed upward. The pores formed on the ridge of the fingerprint can be formed in various shapes such as circular, elliptical, and fusiform, and the cross section of the pores has a crater shape. At this time, the diameter of the crater is within 200 占 퐉.

When the sweat produced in the sweat glands starts to swell, the sweat produced in the sweat glands moves along the sweat gang as shown in FIG. 3b, and sweats as shown in FIGS. 3c to 3e to fill the craters of the swallow gang first. According to the definition of the present invention, the sweat which is sweated and is held in the crater of the pore hole as shown in Figs. 3c to 3e is defined as " micro sweat ". According to another definition of the present invention, fine sweat can be defined as perspiration sweating less than 1 μL.

If the sweat generated in the sweat glands is further sweated in the sweated minute sweat state as shown in FIGS. 3c to 3e, the sweated sweat flows over the crater of the sweat hole as shown in FIG. 3f. The present invention defines sweat flowing over a crater of a pore as "wet sweat" as shown in FIG. 3f. Preferably, the wet sweat first flows along the ridge and then overflows in the bone direction. Usually, the expression "sweat" means wet sweat.

On the other hand, according to the experiment of the applicant, it is unusual for the perspirated fine sweat to grow as the wet sweat as shown in FIG. 3f, as shown in FIGS. 3c to 3e, unless a specific perspiration induction situation occurs. In the human body, about 500 to 900 pores are arranged irregularly per 1 cm 2. In some of these pores, fine sweat is generated irregularly as shown in FIGS. 3c to 3e. However, most of the fine sweat is only accumulated in the crater of the pore, as shown in FIG. 3c, FIG. 3d or FIG. 3e, and disappears, and it is rare to grow wet sweat as shown in FIG. 3f unless a special sweat induction situation occurs. According to the definition of the present invention, the perspiration of fine sweat which is present in the crater of a pore as shown in Fig. 3c, Fig. 3d or 3e is defined as " fine sweating ". That is, in the present invention, micro-sweating can be defined as sweating in the form of being swollen in the crater of the pore as shown in FIG. 3c, FIG. 3d or FIG. 3e and then disappearing without growing with wet sweat.

In addition, according to the repeated experiments of the applicant, it has been found that microscopic sweating occurs very irregularly (that is, unpredictable in which pores it swells) and in some milligrams, in milliseconds, in figures 3b to 3c or 3d or 3e As shown in FIG. 3B, and then the fine perspiration disappears as shown in FIG. 3B. The reason why the fine perspiration persists in ms units as shown in FIG. 3B, FIG. 3C, FIG. 3D or FIG. 3E and then disappears as shown in FIG. 3B is because very small amount of fine perspiration sweated in a very small amount or less evaporates at the same time, It is assumed that the fine sweat is sucked into the state of FIG. 3b by a certain biological reaction. On the other hand, in the case of some other minute sweating, it has been confirmed that the sweating state is maintained for a predetermined time (for example, ms units to one second) as shown in FIG. 3C, FIG. 3D or FIG. However, the fine sweat which has been maintained for a certain period of time is mostly extinguished to the state of FIG. 3b unless a specific perspiration induction state occurs, and it can be confirmed that only a part of the fine sweat which has been maintained for a certain period of time grows as wet sweat.

FIGS. 4A and 4B are views showing images obtained by optically photographing fine swellings of pores formed in a ridge of a fingerprint. FIG.

More specifically, FIGS. 4A and 4B are optical close-up images taken in units of 500 ms (0.5 second) so as to optically discriminate fine sweating. For reference, there was no sweating induction between Figures 4a and 4b.

Comparing the blue square area in FIGS. 4a and 4b, the pores in the pores in FIG. 4a are fine-grained in units of ms, and fine sweat fine-sweated in ms units can be identified as shown in FIG. 4b.

4A and FIG. 4B, it can be seen that the fine sweat in a state of fine sweating in FIG. 4A maintains fine sweat as shown in FIG. 4B even after the lapse of ms.

On the other hand, when comparing the green square areas in FIGS. 4A and 4B, it can be seen that the fine sweat which has been slightly sweated in FIG. 4A has disappeared as shown in FIG. 4B after lapse of ms.

5A to 5C are diagrams showing sweating patterns of the human body.

5B shows sweating baton of fine sweat which is maintained for a predetermined time and FIG. 5C shows sweat baton of fine sweat which persists after sweating in units of ms. Fig. And a sweating baton capable of growing.

According to the experiment of the applicant, it was confirmed that when a sweat generated from sweat glands of a human body is sweated, there is a pattern sweating a specific amount of sweat rapidly in ms units at the beginning of sweating as shown in Figs. 5A to 5C. In particular, even when fine sweat persists through sweat pores of pores formed in a ridge of a fingerprint, it has a pattern as shown in Figs. 5A to 5C.

5A shows a sweating pattern of fine sweat which persists the sweat generated in the sweat glands of the human body in minute increments and disappears in ms units. Referring to FIG. 5a, sweating of fine sweat was observed to occur rapidly in ms units at the beginning of sweating, whereas sweating of sweating occurred more slowly than sweating. This is because the time required for evaporation or sweating of the fine sweat through the sweatpin is slower than the sweating time.

FIG. 5b shows a sweating pattern of fine sweating which keeps a minute sweating state for a predetermined time (for example, ms units to one second) or more. Referring to FIG. 5B, sweating of fine sweat occurs rapidly in the unit of ms in early stage of sweating, and the time for accommodating sweat in the sweat hole is maintained for a predetermined time or more. In this case, the fine perspiration is maintained for a predetermined period of time. That is, the sweating phenomenon is not stopped through the sweatpin (if sweating through the sweatpin stops, the sweating pattern is similar to that of FIG. 5a) It seems to be continuing. The sweating pattern shown in FIG. 5B is sweated in the previous period due to the perspiration pattern periodically shown in FIG. 5A, and is accommodated in the sweat pores and evaporated or swollen at the same time. The amount of perspiration remaining in the sweat pores, It is judged that the sum of the amounts of sweat produced does not exceed the accommodation space of the pores. If sweating through the sweatpipe is stopped at any moment, the fine sweat will disappear similar to the disappearing pattern of FIG. 5a.

According to the method of the present invention, when the body part of the human body is kept in contact with the sensor part 705, the evaporation rate of the sweat sweated by the contact between the body part and the sensor part 705 decreases A pattern may be generated in which the minute sweating state is maintained for a predetermined time or longer as shown in FIG. 5B.

FIG. 5c shows a sweating pattern of fine sweating which can be grown by wet sweat from fine sweat. Referring to FIG. 5c, sweating of micro-sweat occurs sharply at the beginning of sweating and in units of ms. Similar to FIG. 5b, the sweating time is maintained for a certain period of time or longer. The sweating process seems to be continuing. Then, as soon as the amount of sweat contained in the pores exceeds the acceptable volume of the pores, the sweat becomes wet sweat and flows along the ridges or flows into the bone. According to the applicant's experiment, when the fine sweat contained in the pore grew by wet sweat, it was confirmed that the sweat swelled suddenly in ms in the state of fine sweat. This is because the perspiration sweated through the sweat pipe is gradually filled with the sweat pores and does not grow as wet sweat. Instead of repeating the sweating pattern as shown in Fig. 5a, the amount of perspiration sweated through the sweatpin during the period and the amount of perspiration It is judged that the sweat flows suddenly when it exceeds the acceptable volume in the corresponding pores.

On the other hand, the sweating patterns shown in Figs. 5A to 5C are not limited to fine sweat, but are equally applicable to sweating wet sweat immediately in an untreated state. That is, the criterion for distinguishing whether the sweat sweating from the human body is fine sweat or wet sweat is determined according to whether the sweat amount sweating rapidly in ms units through the sweat pipe is smaller or larger than the accommodation space of the pores, (Particularly sweating in the pore formed in the ridge of the fingerprint) has sweating pattern that rapidly sweats a certain amount of sweat in ms at the beginning of sweating as shown in Figs. 5a to 5c.

Therefore, as shown in FIGS. 5A to 5C, the sweating pattern rapidly sweating in units of ms in the early stage of sweating can be defined as a unique feature of sweating through the pores of the human body.

6A and 6B are views showing a cross-sectional structure for sensing a ridge, a bone, and a pore formed in a fingerprint of a human body.

6a shows a cross-sectional structure for sensing fingerprint ridges, valleys and pores in Fig. 3a using a sensor unit 705 having an electrostatic sensor for sensing capacitance, Fig. 6b is a cross- And a fingerprint ridge, a bone and a pore of the finger in Fig. 3d are sensed using a sensor unit 705 having an expression sensor.

Referring to FIGS. 6A and 6B, the ridges of ridges, bones, and pores of the fingerprint contact (or come close to) the sensor unit 705. Therefore, when the sensor unit 705 is made of an electrostatic sensor, the electrostatic sensor acquires a sensing value closest to the capacitance of the human body with respect to the ridge. On the other hand, as compared with the ridge, the ridge is spaced apart from the sensor unit 705 by a predetermined distance or more. Therefore, when the sensor unit 705 is made of an electrostatic sensor, the electrostatic sensor acquires a sensing value of a capacitance sufficiently contrasted with the capacitance of the ridge with respect to the valley. The sensor unit 705 can acquire sensing data capable of distinguishing ridges of fingerprints from each other according to the sensed values of ridges and bones.

On the other hand, pit-shaped pores having a diameter of about 200 mu m are irregularly arranged at intervals of about 830 mu m on the ridge. Therefore, in order to sense pores having a diameter of about 200 μm, the sensor resolution of the sensor unit 705 (for example, the size of one pixel of the electrostatic sensor provided in the sensor unit 705) is preferably 50 μm or less. When the sensor resolution is 50 μm or less, the sensor unit 705 can effectively sense the pores through at least one to four sensors.

As shown in FIG. 6A, in an untreated state where sweat does not swell, a void is formed in the pore on the fingerprint ridge. Therefore, when the sensor unit 705 is an electrostatic sensor, the electrostatic sensor can obtain a sensing value corresponding to a sensing value between the sensing value of the ridge and the sensing value of the ridge relative to the pore of FIG. 6A.

As shown in FIG. 6b, when perspiration of fine sweat occurs, the perspiration sweat contains salt, amino acid, cell, etc., and thus the electrostatic capacity of the perspiration may be larger than the electrostatic capacity of the human body. Therefore, when the sensor unit 705 is made of an electrostatic sensor, the electrostatic sensor can obtain a sensing value corresponding to a capacitance larger than the sensing value of the ridge with respect to the pore of FIG. 6A.

7 is a functional block diagram of an apparatus 700 for authenticating a fingerprint of a living body using pore holes and fine sweating according to an embodiment of the present invention.

More specifically, FIG. 7 illustrates an example in which the body part of the user including the fingerprint is sensed N (N? 3) times in units of a predetermined sensing period ms (millisecond) using the sensor unit 705 capable of sensing the fingerprint, (M &gt; = 3) pieces of recognition data generated in units of ms, which is the identification cycle of the minute number of the N pieces of recognition data, among the N pieces of recognition data, using at least one piece of recognition data among the pieces of recognition data (m + 1) -th recognition data obtained by subtracting the sensed value of the m-th recognition data from the sensed value of the (m + 1) -th recognition data by matching the m (7? m < (M-1) pieces of difference data including the subtracted data are discriminated to discriminate the minute sweeter region, and then the sweat hole position and the minute sweeter region are compared to determine whether the fine sweeter region is within the tolerance range Matching in The fingerprint authentication device 700 authenticates the fingerprint pattern of the living body and authenticates the fingerprint pattern of the living body. The person skilled in the art can refer to and / It will be appreciated that various implementations (e.g., some of the components may be omitted, or subdivided, or combined) may be inferred from the method 700, but the present invention includes all of the above- The technical features are not limited only by the method shown in FIG.

The device 700 of the present invention is a generic term for a configuration capable of recognizing or authenticating a fingerprint pattern using a sensor unit 705 capable of sensing a fingerprint and may be various types of devices, modules (or chips) And a distributed system type including a server on the network.

According to a first embodiment of the present invention, the apparatus 700 of the present invention can be implemented in the form of various apparatuses used by a user. For example, the device 700 may be implemented in the form of a terminal (e.g., a smart phone, a mobile phone, a tablet PC, a notebook PC, etc.), a recognition device, an authentication device, a door lock device, 7 may be implemented in the form of H / W, S / W, or a combination thereof mounted on each device.

According to the second embodiment of the present invention, the apparatus 700 of the present invention can be implemented in the form of a module (or a chip) mounted on various apparatuses used by a user. For example, the device 700 may be implemented in the form of a module (or chip) embedded in various devices such as a terminal, a recognition device, an authentication device, a door lock device, etc. used by a user, The configuration unit may be implemented in a form of H / W or S / W or a combination thereof mounted on the module (or chip). Depending on the implementation method, some of the functional components shown in FIG. And the other part may be implemented on the device side on which the module (or chip) is mounted.

According to the third embodiment of the present invention, the apparatus 700 of the present invention can be distributedly implemented through various devices used by users and servers on the network. For example, the device 700 may include various devices such as a terminal, a recognition device, an authentication device, a door lock device, and the like, which are used by the user, and a server on the network. And other parts may be implemented in a server on the network.

According to the fourth embodiment of the present invention, the apparatus 700 of the present invention can be implemented in a form of partially combining two or more embodiments among the first to third embodiments. That is, the present invention is not limited to the method of implementing the device 700 or the embodiment, and it is obvious that the present invention belongs to the scope of the present invention if the functions included in the claims are implemented in any form of function.

The apparatus 700 of the present invention includes a sensor unit 705 capable of sensing fingerprints in a hardware manner. The sensor unit 705 may be any sensor capable of recognizing a fingerprint, such as an electrostatic sensor, an optical sensor, an ultrasonic sensor, or the like. If the sensor 705 is a sensor capable of sensing fingerprints, It is clear that the sensor portion 705 of the present invention is available and belongs to the scope of the right. Hereinafter, the characteristics of the present invention will be described using an embodiment using a sensor unit 705 having an electrostatic sensor for sensing a capacitance. However, it should be clear that embodiments of the present invention are by no means limited to the manner in which electrostatic sensors are used. According to the method of the present invention, the sensor unit 705 preferably has a resolution of 50 μm or less (for example, one pixel of the electrostatic sensor).

Referring to FIG. 7, the apparatus 700 includes N sense (S) sensing N (N &gt; = 3) valid sensing units of a user's designated specific body part through a predetermined sensing period ms A fingerprint recognition unit 715 for extracting the feature points on the ridge pattern corresponding to the fingerprint pattern of the user using the sensing data according to the method, A fingerprint storage unit 720 for generating a corresponding fingerprint template and storing the fingerprint template in a designated storage area and a fingerprint matching unit 725 for authenticating the extracted feature point using a fingerprint template of a user previously stored in a designated storage area . Meanwhile, the fingerprint recognition unit 715, the fingerprint storage unit 720, and the fingerprint registration unit 725 may be omitted according to the embodiment, and thus the present invention is not limited thereto.

The sensing processing unit 710 acquires N sensing data obtained by sensing the user's body part N times in a predetermined sensing period ms through the sensor of the sensor unit 705. Preferably, the sensing period may include a period equal to or less than a fine swallowing discrimination period set for identifying fine sweating. For example, when the fine swallowing identification period is set to 100 ms, the sensing period may be 100 ms, which is the same as the fine swallowing identification period, or may be shorter than the fine swallowing identification period (e.g., 50 ms, 20 ms, ).

According to the embodiment of the present invention, the sensing processing unit 710 senses the N sensed data (N sensing data) sensed N times in a unit of sensing cycle ms in which the user's designated body part can be sensed in the shortest period within the allowable range of the sensor unit 705 Can be obtained. For example, when the user's designated body part can be sensed in units of 10 ms on the basis of the performance of the sensor unit 705, the sensing processor 710 senses the user's designated body part N times N sensing data can be obtained. However, the sensing period is not limited to the shortest allowable period of the sensor unit 705, and may be variously determined according to the performance of the sensor unit 705.

According to the embodiment of the present invention, the sensing processing unit 710 senses N sensing data obtained by sensing the same body part N times in a predetermined sensing period ms while the body part of the user is in contact with the sensor unit 705 . Preferably, the sensing processing unit 710 acquires sensing data for generating image data of pixels. For example, one pixel of the image corresponding to the sensing data sensed by the sensing processing unit 710 is preferably 50 m or less.

According to the first sensing method of the present invention, the sensing processing unit 710 confirms the contact state of the user's body part through the sensor unit 705, and when the contact of the user's body part is confirmed, 705 to obtain N sensed data effective sensing in units of a sensing period ms.

On the other hand, it is relatively easy to copy fingerprints on the other hand, but it is very difficult to replicate the pores, and it is virtually impossible to simulate fine sweating through the simulated pores. Nevertheless, someone in the future can try to simulate the fingerprints and pores of others, or to simulate fine sweating through simulated pores using expensive control equipment.

Therefore, according to the second sensing method of the present invention, the sensing processing unit 710 confirms the contact state of the user's body part through the sensor unit 705 and does not start sensing immediately in the contact state of the body part, In the state where the contact of the body part is confirmed, the sensing data obtained by sensing the user's body part in an effective sensing unit of a predetermined sensing period ms from an unspecified arbitrary time is obtained, so that even an attempt to simulate the minute sweating can be excluded.

According to the third sensing method of the present invention, the sensing processing unit 710 checks the contact state of the user's body part through the sensor unit 705, and determines the user's body part contacting the sensor unit 705 The sensing data sensed in units of sensing cycles ms is obtained and the sensed data sensed from an arbitrary unspecified time in the sensed sensing data is acquired as effective sensing data so that even an attempt to simulate the minute sweating can be omitted have.

According to the fourth sensing method of the present invention, the sensing processor 710 may combine at least two of the first to third sensing methods to obtain N sensed data that are sensed in a predetermined sensing period ms can do.

Meanwhile, the sensing processing unit 710 confirms whether or not the contact of the body part is released while the user's body part touching the sensor unit 705 is sensed effective for a specified sensing period ms. If it is determined that the body part is released from the contact, the sensing processor 710 sets a minimum sensing time (for example, 500 ms, 1 second, 2 seconds Etc.) has elapsed. If the contact of the body part is released in a state where the minimum sensing time has not elapsed, the sensing processor 710 performs a procedure of terminating the authentication process according to the present invention (for example, forcible stopping, error processing, etc.) , It is possible to exclude unintentional misunderstandings.

Alternatively, the sensing processing unit 710 may check the elapsed sensing time from the point at which effective sensing starts at a predetermined sensing period in units of the user's body in contact with the sensor unit 705, and if the sensed sensing time is fine (E.g., 500 ms, 1 second, 2 seconds, etc.) set for authentication. If the effective sensing time exceeds the set maximum sensing time, the sensing processor 710 performs a procedure of stopping (e.g., stopping sensing or ignoring sensing data) or restarting the sensing of the body part, More attempts to simulate fine sweating can be excluded. For example, if the time at which the effective sensing is started in the second or third sensing method is 250 ms after the contact of the body part and the maximum sensing time is 500 ms, the user can not recognize the body part in the sensor part 705 Even if the contact is long, the time for obtaining the actual effective sensing data is only 250 ms to 750 ms after the contact of the body part, so that the attempt of simulating minute sweating can be further complicated.

Meanwhile, the fingerprint recognition unit 715 performs a process of preprocessing the sensing data obtained through the sensing processing unit 710 according to a specified fingerprint recognition algorithm. The fingerprint recognition unit 715 may apply a fingerprint recognition algorithm to any one of N sensing data obtained through the sensing unit 710 and may apply a fingerprint recognition algorithm to the N sensed data It is possible. Preferably, the fingerprint recognition unit 715 performs a smoothing process on the sensing data obtained through the sensing process unit 710, and the noise in the sensing process is removed through the smoothing process.

The fingerprint recognition unit 715 performs a preprocessing procedure for reading the corrected sensing data obtained through the sensing processing unit 710. [ Preferably, the fingerprint recognition unit 715 performs a binarization process, a thinning process, and a directionality extraction process for the acquired / corrected sensing data. The binarization procedure includes a procedure for distinguishing between a ridge portion and a valley portion on the sensing data in black and white. The thinning procedure includes a process of distinguishing the width of the ridge on the binarized sensing data by a line of a specified reference pixel (e.g., one pixel). The directional extraction procedure includes a procedure of extracting a relative direction of a ridge (e.g., a thin line) within the entire area of the binarized or thinned sensing data.

The fingerprint recognition unit 715 reads the preprocessed sensing data and performs a process of extracting a fingerprint pattern including minutiae points included in the sensing data. Preferably, the feature point includes at least one of a start point, an end point, a branch point, a center point, and a delta, and may be a merge, a loop, a bridge, a cross, , Triangle, Break, Spur, Ladder, Double Break, Break & Merge, Iceland, and more. have.

When the user's fingerprint is registered, the fingerprint storage unit 720 may generate a fingerprint template including the extracted feature points and store the fingerprint template in a designated storage area. According to an embodiment of the present invention, in order to register a fingerprint of a user, the sensor unit 705 senses the same part of the user's body (e.g., touches the same part of the body to the sensor unit 705, The fingerprint storage unit 720 may generate a fingerprint template including the union of the minutiae repeatedly extracted in the repeated process and store the fingerprint template in the designated storage area.

On the other hand, in the case of authenticating the user's fingerprint, the fingerprint matching unit 725 compares the fingerprint template stored in the designated storage area with the extracted minutiae through the fingerprint recognition unit 715 to check whether they match or not, A fingerprint matching result is generated.

Referring to FIG. 7, the apparatus 700 includes a recognition data generating unit 730 for generating sensed data by reading sensed values of respective sensing data obtained through the sensing processing unit 710, And a pore hole confirmation unit 735 for confirming the position of the pore on the fingerprint ridge using the generated at least one recognition data.

The recognition data generation unit 730 reads the sensing value of each sensing data obtained through the sensing processing unit 710 in cooperation with the process of acquiring N sensing data through the sensing processing unit 710, And generates N pieces of recognition data capable of distinguishing the N pieces of recognition data.

According to the first recognition data generation method of the present invention, the recognition data generation unit 730 reads the sensed value of each sensed data to acquire a sensing value corresponding to the ridge region and a sensing value corresponding to the bony region It is possible to generate discrimination data which can be discriminated and corrected.

According to the second recognition data generation method of the present invention, the recognition data generation unit 730 reads the sensed value of each sensed data to obtain a sensed value corresponding to the ridged region and a sensed value corresponding to the target region The recognition data corrected so as to be distinguishable and corrected so as not to damage the sensing value corresponding to the pores arranged on the ridge area can be generated.

According to the third recognition data generating embodiment of the present invention, the recognition data generating unit 730 reads the sensed value of each sensed data to acquire the contrast of the sensed values, And the saturation can be generated.

According to the fourth embodiment of the present invention, the recognition data generation unit 730 reads the sensed value of each sensed data to acquire noise of the sensor included in the sensor unit 705 (For example, noise due to contamination of the surface of the sensor unit 705) generated in the sensing process through the sensor unit 705, and noise generated by the sensor unit 705 It is possible to generate recognition data by correcting at least one of noise caused by contamination of the approaching body part (e.g., noise due to moisture or dust in the body part contacting the sensor part 705).

According to the fifth recognition data generation embodiment of the present invention, the recognition data generation unit 730 can generate the recognition data corrected in a combination of two or more of the first to fourth recognition data generation embodiments. That is, the fingerprint recognition unit 715 performs correction such as smoothing, binarization, thinning, etc. to concentrate on extracting the minutiae points of the ridge pattern and undermining the sensing value of the ridge pores on the ridge, while the recognition data generation unit 730 The recognition data is generated by performing correction to improve the quality of the sensing data without damaging the pore sensing value on the ridge.

(Or generated) the recognition data through the recognition data generating unit 730, the pore-hole checking unit 735 determines whether or not the recognition data is generated (S &gt; = 3) sensing value singularity regions, and at least s (3? S? S) sensing value singularity regions of the identified S sensing value singularity regions are sensed by the sensor unit And the position of the s pawl formed in the body part of the body.

According to the method of the present invention, the pore-hole checking unit 735 determines a base sensing value for a ridge area included in the recognition data, and calculates S (S &Gt; = 3) sensing value singularity regions.

If at least one piece of recognition data that can distinguish ridges and valleys from the recognition data generating unit 730 and does not damage the pore sensing value is generated, the pore-hole checking unit 735 identifies the ridge area included in the recognition data The base sensing value for the ridge region in the bony region is determined. Here, the base sensing value may be defined as a sensing value corresponding to a body part in contact with the sensor unit 705 of a user's body part, and / or a sensing value serving as a reference for distinguishing a ridge area and a bony area.

According to the first base sensing value determination method of the present invention, the pore hole determination unit 735 can determine the base sensing value for the ridge region with respect to the entire area of the recognition data.

According to the second base sensing value determining method of the present invention, the pore-hole checking unit 735 divides the recognition data into a designated region according to a specified rule, and calculates a base sensing value for the ridge region You can decide. The body part contacting the sensor part 705 is not a two-dimensional plane structure but a three-dimensional structure. Therefore, when the body part is brought into contact with the sensor part 705 of the two-dimensional plane structure, the body part of the three-dimensional structure contacts the sensor part 705 of the two-dimensional plane structure, It is difficult to determine a single basis sensing value for the entire area of the recognition data because the distribution of contact forces is difficult to uniformly act on the entire body part. Even if the geometric shape of the sensor unit 705 is made to match with the body part of the three-dimensional structure, since the distribution of the force of contacting the body part with the sensor unit 705 is not always uniform, Determining a single baseline sensing value can be daunting. Accordingly, the pore-hole checking unit 735 can divide the recognition data into a designated region according to a specified rule and determine a base sensing value for the ridge region for each divided region. For example, the pore-hole checking unit 735 may divide the recognition data into a grid structure, a concentric circle structure, or a sector shape to determine a base sensing value for the ridge region for each divided region .

According to the third base sensing value determination method of the present invention, the pore-hole checking unit 735 confirms a gradient pattern of the sensing value included in the recognition data, and determines the recognition data based on the gradient pattern The base sensing value for the ridge area can be determined for each area. That is, since the distribution of the force of contacting the body part with the sensor part 705 is not always uniform, there is a gradation pattern in the sensing value between the part where the user applies more force and the part where less force is applied. The pore-hole checking unit 735 identifies the gradation pattern of the sensing value, divides the gradation pattern into a predetermined number of steps, and divides the recognition data on the basis of the gradation pattern to determine a basis sensing value for the ridge region have.

According to the fourth base sensing value determination method of the present invention, the pore-hole determination unit 735 determines a pseudo-sensed value based on a ridge included in the recognition data in the form of a combination of two or more of the first to third basal- The base sensing value for the region can be determined.

Meanwhile, embodiments for determining the base sensing value according to any one of the first to fourth base sensing value determination methods may be variously provided.

According to the first base sensing value determining embodiment of the present invention, the pore-hole checking unit 735 determines whether or not a specified area of the recognition data (for example, Region or a divided region) of the ridge region and the bony region, and may determine the calculated region distinguishing value as the base sensing value of the ridge region.

According to the second base sensing value determination method of the present invention, the pore-hole determination unit 735 determines whether or not the pore- (For example, an arithmetic expression for correcting an error) is substituted for a value calculated by dividing the value of the area discrimination value into a base sensing area of the ridge area Value. &Lt; / RTI &gt;

According to the third base sensing value determination method of the present invention, the pore-hole determination unit 735 determines whether or not the pore- And a value belonging to the designated distribution region on the sensing value distribution may be determined as the base sensing value of the ridge region. For example, when the sensing value distribution of the designated area is in the form of a normal distribution, the pore-hole checking unit 735 determines a value belonging to the average (m) of the normal distribution or a standard deviation Can be determined as the base sensing value of the ridge area.

According to the fourth base sensing value determination method of the present invention, the pore-hole determination unit 735 determines whether or not the pore- And a value belonging to the designated distribution area on the sensing value distribution is substituted into the specified correction equation to determine the calculated value as the base sensing value of the ridge area.

According to the fifth base sensing value determining embodiment of the present invention, the pore-hole checking unit 735 determines whether or not the pore- And the calculated average value may be determined as the base sensing value of the ridge region.

According to the sixth base sensing value determining embodiment of the present invention, the pore-hole checking unit 735 determines whether or not the pore- And calculating the calculated value by substituting the calculated average value into the specified correction operation equation as the base sensing value of the ridge region.

According to the seventh base sensing value determination embodiment of the present invention, the pore-hole confirmation unit 735 may modify at least one of the first to sixth base sensing value determination embodiments, or partially combine two or more embodiments The base sensing value for the ridge region can be determined, and thus the present invention is not limited thereto.

If the base sensing value for the ridge area included in the designated area of the recognition data (for example, the entire area or the divided area) is determined, the pore-hole checking unit 735 uses the base sensing value of the designated area (S &gt; = 3) sensing value singularity regions distributed on the ridge region included in the region. Preferably, the sensing value singularity region includes a region having a diameter of 200um or less, and may be identified with an interval of 200um to 1500um.

Meanwhile, according to the embodiment of the present invention, the minutia checking unit 710 can identify the minutiae of the ridge pattern matching with the ridge region included in the recognition data, in cooperation with the fingerprint recognizing unit 715. In this case, the pore-hole checking unit 735 can identify the sensing value singular point area distributed near the minutiae point on the ridge pattern using the basis sensing value of the designated area.

According to the first sensing value identification embodiment of the present invention, the pore-hole checking unit 735 determines whether or not the pore-hole detecting unit 735 is set in advance on the ridge area included in the specified area (e.g., the entire area or the divided area) An area that is greater than or equal to the '+' contrast value can be identified as the sensing value singularity area. For example, when fine sweat is generated on the ridge-shaped pores as shown in FIG. 3e, the pore-hole checking unit 735 identifies an area of the ridge area that is equal to or greater than a predetermined '+' Area. &Lt; / RTI &gt;

According to the second sensing value identifying embodiment of the present invention, the pore-hole checking unit 735 identifies, on the ridge area included in the designated area of the recognition data, an area that is less than or equal to a pre- Value can be identified as a singularity domain. For example, when fine sweat is not generated on the ridge-shaped pores as shown in FIG. 3A or FIG. 3B, the pore-hole confirming unit 735 recognizes an area of the ridge area that is less than a predetermined '-' And can be identified as the sensing value singularity region.

According to the third sensing value identification method of the present invention, the pore-hole checking unit 735 determines whether or not the pore-hole determining unit 735 is set in the region of the ridge region included in the specified region of the recognition data, A region including a region equal to or greater than the '+' contrast value may be identified as the sensing value singularity region. For example, when a very small amount of fine sweat is generated on the ridge on the ridge as shown in FIG. 3C, the pore-hole confirming unit 735 determines whether or not the predetermined amount of fine sweat is set in the ridge region, A region including a region equal to or greater than the '+' contrast value may be identified as the sensing value singularity region.

According to the fourth sensing value identifying embodiment of the present invention, the pore-hole checking unit 735 determines whether or not the pore-hole determining unit 735 is set in the region of the ridge region included in the specified region of the recognition data, A region including an area less than or equal to a '-' contrast value may be identified as the sensing value singularity area.

According to the fifth sensing value identifying embodiment of the present invention, the pore-hole checking unit 735 determines whether or not the pore-hole determining unit 735 determines that the area of the ridge area included in the specified area of the recognition data is greater than or equal to the pre- A region in which regions having a contrast value equal to or less than a value of '-' are connected to each other can be identified as the sensing value singularity region.

According to the sixth sensed value discrimination embodiment of the present invention, the pore-hole checking unit 735 identifies the sensed value on the ridge area in a form in which two or more embodiments among the first to fifth sensing value identifying embodiments are partially combined, It is possible to identify the singularity region, and thus the present invention is not limited thereto.

When the S sensed value singularity regions distributed on the ridge region are identified through the first to sixth sensing value identification examples, the pore hole identifying unit 735 identifies at least s (3 &amp;le; s &amp;le; S) sensed value singularity regions are recognized as s pore holes formed in the body part of the user sensed through the sensor unit 705 and the recognized s pore locations are confirmed.

Meanwhile, according to another example of the present invention, the pore-hole checking unit 735 can check the minutiae points of the ridge pattern matching with the ridge region included in the recognition data in cooperation with the fingerprint recognizing unit 715. [ In this case, the pore-hole checking unit 735 recognizes the s sensing value singular point regions disposed in the vicinity of the minutiae points of the ridge pattern as s pore holes formed in the user's body region sensed by the sensor unit 705 And recognize the positions of the recognized s pore holes.

Referring to FIG. 7, the apparatus 700 includes a recognition data generating unit 730 for generating M (M? 3) pieces of recognition data, which are included in M The sensing value of the m-th recognition data is subtracted from the sensing value of the (m + 1) -th recognition data by matching the m (7? M <M) recognition data and the (m + 1) A difference data generation unit 740 for generating (M-1) pieces of difference data including the generated m-th difference data, and a difference data generation unit 740 for reading the generated difference data, A fine swallowing discrimination unit 745 for discriminating at least one differential region of the at least one differential sphere occurring at a predetermined threshold value or more as a fine sweeter region; and a micro swell discrimination unit 745 for comparing the swollen position and the micro swellable region, Matching in Includes the authentication processing section 750 authenticates that.

The difference data generating unit 740 generates the difference data among the recognition data generated through the recognition data generation unit 730 during the generation (or after the generation) of the recognition data through the recognition data generation unit 730, (7? M <M) recognition data and the ridge pattern included in the (m + 1) recognition data among the M (M? 3) (M + 1) -th recognition data on the basis of the fingerprint pattern recognized by the first fingerprint recognition unit and the fingerprint pattern recognized through the fingerprint recognition unit And generates the m-th order data. Preferably, the difference data generator 740 repeats the process of subtracting the sensed value of the m-th recognition data from the sensed value of the (m + 1) -th recognition data to generate (M-1) .

According to the embodiment of the present invention, even when the user tries to apply the same (or even) contact pressure while sensing his / her body part to the sensor part 705 while sensing, the contact pressure applied to the sensor part 705 The change of the contact pressure is reflected in the change of the sensing value. Therefore, correction of this contact pressure change is necessary in generating the difference data.

The difference data generator 740 calculates a correction coefficient for matching the base sensing value of the ridge area of the (m + 1) -th recognition data with the base sensing value of the ridge area of the m-th recognition data, The n-th order data can be generated by subtracting the sensing value of the m-th recognition data from the sensing value of the (m + 1) -th recognition data based on the correction coefficient. Here, the base sensing value may be defined as a sensing value corresponding to a ridge portion in contact with the sensor unit 705 of a user's body region, and / or a sensing value serving as a reference for distinguishing a ridge region and a bony region.

According to the first base sensing value determination method of the present invention, the difference data generation unit 740 calculates an area distinguishing value for distinguishing the ridge area and the bony area among the sensing values included in each recognition data, Can be determined as the base sensing value of the ridge region. Meanwhile, the difference data generation unit 740 substitutes the calculated area discrimination value into a specified correction operation formula (for example, an operation formula for correcting the error) according to the method, and outputs the calculated value as the base sensing value of the ridge area You can decide.

According to the second base sensing value determination method of the present invention, the difference data generation unit 740 may calculate the sensing value distribution of the ridge area using the sensing value included in each recognition data, A value belonging to the designated distribution area can be determined as the base sensing value of the ridge area. For example, when the sensing value distribution of the designated area is in the form of a normal distribution, the difference data generator 740 may calculate a value belonging to the average (m) of the normal distribution or the standard deviation Can be determined as the base sensing value of the ridge region. Meanwhile, according to the embodiment, the difference data generator 740 may substitute a value belonging to the designated distribution area on the sensing value distribution into the specified correction equation, and determine the calculated value as the base value of the ridge area.

According to the third base sensing value determination method of the present invention, the difference data generation unit 740 calculates the average value of the sensing values included in each recognition data, and outputs the calculated average value as the base sensing value of the ridge region You can decide. Meanwhile, the difference data generation unit 740 may determine the calculated value by substituting the calculated average value into the specified correction operation equation as the base sensing value of the ridge region.

According to the fourth base sensing value determination embodiment of the present invention, the difference data generation unit 740 may modify at least one of the first to third base sensing value determination embodiments, or partially combine two or more embodiments The base sensing value for each ridge region of each recognition data can be determined, and thus the present invention is not limited thereto.

The base sensing value for the ridge area of the (m + 1) -th recognition data and the base sensing value for the ridge area of the m-th recognition data may be obtained through at least one of the first to fourth base sensing values determination examples The difference data generator 740 calculates a correction coefficient for matching the base sensing value of the ridge area of the (m + 1) -th recognition data with the base sensing value of the ridge area of the m-th recognition data Then, the n-th order data may be generated by subtracting the sensing value of the m-th recognition data from the sensing value of the (m + 1) -th recognition data based on the correction coefficient. For example, when the sensing value of the m-th recognition data is subtracted from the sensing value of the (m + 1) -th recognition data based on the correction coefficient, the sensing value corresponding to the base sensing value mutually matched by the correction coefficient The value can be '0'.

During or after (M-1) pieces of difference data are generated through the difference data generation unit 740, the fine swallow determination unit 745 generates the difference data m (m) through the difference data generation unit 740 (M + 1) -th recognition data as shown in FIG. 8B by reading the difference value of the m-th data generated by subtracting the sensed value of the m-th recognition data from the sensed value of the And the difference value on the ridge area included in the m-th order data generated by subtracting the sensed value of the m-th recognition data such as the m-th difference data as shown in FIG. 8 . If at least one difference peculiar area as shown in Fig. 8C is identified on the ridge area included in the m-th order data, the fine swing determination part 745 determines the differential peculiar area identified in the m-th data as a pore on the ridge area It is judged as a minute sweating area where fine sweat is generated. According to an embodiment of the present invention, the threshold may include a '+' threshold or a '-' threshold, and the difference may occur in a '+' peak or '-' peak.

According to the method of the present invention, the fine sweating discrimination unit 745 combines the differential anomaly regions identified in at least one of the difference data of the (M-1) pieces of difference data to obtain t (t? 1) Area can be determined. Preferably, the t tiny swallowing regions may comprise a union of the differential paired regions identified in at least one of the difference data of the (M-1) difference data. According to the technical features of the present invention, since fine sweat is sweated only in living body, it can be certified that the fine sweat is actually sweated in the living body just by discriminating the fine sweat.

The positions of the s pores formed on the ridge of the body part are confirmed through the pore-hole confirming part 735, and the t minute fine sweating areas sweeping nonspecifically on the ridge of the body part are discriminated through the fine sweating judging part 745 The authentication processing unit 750 compares the s pore positions and the t minute pawl regions to determine whether the minute sweeter region matches the pawl position with a tolerance within the tolerance range And matches the pelvic area with the position of the pelvis in the tolerance range, thereby generating a pelvic micro-swallowed authentication result.

The authentication processing unit 750 can generate an actual biometric fingerprint authentication result for authenticating the fingerprint of the user's actual living body using the authentication result of the sweat pores. Alternatively, the authentication processing unit 750 may combine the fingerprint matching result generated through the fingerprint matching unit 725 and the swallowing result of swallowing minute sweating so as to detect the actual body part of the user's body part sensed by the sensor unit 705 The authentication processing unit 750 can generate a fingerprint authentication result. In this case, the fingerprint matching unit 725 can generate a fingerprint authentication result. In this case, the fingerprint matching unit 725 successfully matches the ridge pattern of the fingerprint and generates fine sweating within an allowable error range of the pore position When the authentication is successful, the biometric fingerprint authentication result of the user's body part sensed through the sensor unit 705 can be generated. Otherwise, the biometric fingerprint authentication result corresponding to the authentication failure can be generated have. The authentication processing unit 750 may output the generated biometric fingerprint authentication result through a designated means or may provide the designated biometric fingerprint authentication result through a designated path.

According to the method of the present invention, the fingerprint matching result is used as identification means for identifying the user, and the matching result of the porthole position and the minute sweating area is used as an authentication means for authenticating that the identified user is actually the user .

8A to 8C are diagrams illustrating the relationship between the recognition data and the differential point region according to the method of the present invention.

FIG. 8B illustrates a sensing value on the ridge area of the m-th recognition data among the M recognition data generated in the unit of the specified microevolution identification period ms, and FIG. 8B is a view showing a ridge of the (m + 1) 8C shows the sensing value of the m-th data obtained by subtracting the sensing value of the m-th recognition data illustrated in FIG. 8C from the sensing value of the (m + 1) -th recognition data illustrated in FIG. 8B The difference value is exemplified.

The example of FIG. 8A illustrates a sensing value of the state before fine sweat is generated in the pore on the ridge area. The example of FIG. 8B illustrates the sensing value when fine sweat is generated in the pore on the same ridge area. Therefore, if the sensing value of FIG. 8A is subtracted from the sensing value of FIG. 8B, difference data including the difference value as shown in FIG. 8C can be generated.

FIG. 9 is a diagram illustrating a process of actually authenticating a fingerprint of a living body in the method of the present invention.

More specifically, FIG. 9 illustrates an example in which a sensor part 705 capable of sensing a fingerprint is used to detect the body part of the user including the fingerprint by N (N &gt; = 3) valid sensing times in units of a predetermined sensing period ms (M &gt; = 3) pieces of recognition data generated in units of ms, which is the identification cycle of the minute number of the N pieces of recognition data, among the N pieces of recognition data, using at least one piece of recognition data among the pieces of recognition data (m + 1) -th recognition data obtained by subtracting the sensed value of the m-th recognition data from the sensed value of the (m + 1) -th recognition data by matching the m (7? m < (M-1) pieces of difference data including the subtracted data are discriminated to discriminate the minute sweeter region, and the fine sweeter region is compared with the position of the sweat hole and the tolerance range Matching in The fingerprint authentication method of the present invention is a process of authenticating a fingerprint pattern of an actual living body. If a person skilled in the art is familiar with the present invention, referring to and / or modifying FIG. 9, It is to be understood that the invention may be practiced otherwise than as specifically described herein, but it is to be understood and appreciated that the invention may be practiced otherwise than as specifically described herein, Its technical characteristics are not limited.

Referring to FIG. 9, an apparatus 700 of the present invention acquires N sensed data obtained by sensing a user's specific body part N times in a specified ms unit through a sensor of a sensor unit 705 (900). When at least one sensing data is obtained, the device 700 processes and reads the sensing data according to a specified fingerprint recognition algorithm to extract feature points of the ridge pattern (905). If the user's fingerprint is registered, the device 700 generates a fingerprint template corresponding to the extracted feature point and stores the generated fingerprint template in a designated storage area (910). On the other hand, if the fingerprint of the user is to be authenticated, the device 700 compares the extracted fingerprint template stored in the designated storage area with the extracted minutiae to check whether the fingerprint is matched (915), and generates a fingerprint matching result corresponding to the result do.

The sweat hole and fine sweat matching authentication process according to the present invention may be performed sequentially with the fingerprint recognition and authentication process according to a designated sequence or may be performed by multiplexing with the fingerprint recognition and authentication process. During or after acquiring the N sensed data, the device 700 reads the sensed value of each sensed data obtained to distinguish ridges and valleys from each other, (925). Preferably, the apparatus 700 may generate recognition data according to at least one of the first through fifth recognition data generation embodiments of the present invention (925).

The apparatus 700 checks the position of the pore formed on the fingerprint ridge using the generated at least one recognition data (930). Preferably, the apparatus 700 identifies S (S? 3) sensing value singularity regions distributed on the ridge region included in the recognition data and determines at least s (3?) Among the identified S sensing value singularity regions, S? S) sensed value singularity area can be identified at the position of s pores formed in the body part of the user sensed through the sensor unit 705 (step 930).

If the position of the pore formed on the fingerprint ridge is not confirmed, the device 700 generates an authentication result corresponding to the failure of the actual biometric fingerprint authentication regardless of the authentication process of recognizing and authenticating the fingerprint or the fingerprint authentication result (Step 965).

Meanwhile, when the position of the pore formed on the fingerprint ridge is confirmed, the device 700 calculates m (M? 3) pieces of m (M? 3) pieces of recognition data generated with the minute swallow discrimination period designated based on the generated recognition data (M + 1) -th recognition based on the ridge pattern (or the fingerprint pattern recognized through the fingerprint recognition unit 715) contained in the (M + 1) recognition data and the After the data is matched, the sensed value of the m-th recognition data is subtracted from the sensed value of the (m + 1) -th recognition data to generate m-th data (935). Preferably, the apparatus 700 repeats the process of subtracting the sensed value of the m-th recognition data from the sensed value of the (m + 1) -th recognition data to generate (M-1) .

The apparatus 700 reads the generated (M-1) pieces of difference data, and determines at least one differential region in which the difference value on the ridge area is greater than or equal to a specified threshold value in the specified difference base value (940).

If at least one difference peculiar area is not determined in at least one difference data, the apparatus 700 determines whether the fingerprint authentication is successful or not based on the procedure of recognizing and authenticating the fingerprint, An authentication result may be generated and output (965).

On the other hand, if more than one difference point region is discriminated from at least one difference data, the apparatus 700 discriminates the minute perspiration region by combining the differential point regions identified in at least one of the (M-1) (945). Preferably, the apparatus 700 may determine t (t &gt; = 1) fine swallowing regions corresponding to the union of the difference anomaly regions identified in one or more of the difference data of the (M-1) (945).

The apparatus 700 compares the identified pore location with the determined minute sweeter area to verify that the minute sweeter area matches the pore location within the tolerance range (950). Preferably, the apparatus 700 authenticates 950 that the identified t micro-sweating zones match within the tolerance range with the identified s pore locations.

The apparatus 700 generates an authentication result of the sweat pores that have been authenticated as to whether the fine sweating area matches with the position of the sweat pores within the tolerance range (955), and compares the matching authentication result of the fingerprint with the generated sweat pores fine swallow authentication The result is combined to generate and output an actual biometric fingerprint authentication result (960). Preferably, the apparatus 700 generates an actual biometric fingerprint authentication result that determines that the fingerprint recognized in the actual body has been successfully authenticated when the fingerprint pattern matching authentication is successful and the authentication of the matching between the pore position and the minute sweating area is successful (960). If not, an actual biometric fingerprint authentication result corresponding to the authentication failure is generated and output (960).

100: Device 105: Sensor unit
110: sensing processing unit 115: fingerprint recognition unit
120: fingerprint storage unit 125: fingerprint registration unit
130: recognition data generation unit 135: pore hole confirmation unit
140: Difference data generator 145:
150:

Claims (16)

A method for performing a method through an apparatus having a sensor unit capable of sensing a fingerprint,
A sensing unit for sensing a user's body part through N (N &gt; = 3) sensing units in units of a predetermined sensing period ms (millisecond) through the sensor unit to identify a pore position on a fingerprint ridge using at least one recognition data among N recognition data Stage 1;
(1? M <M) recognition data and (m + 1) recognition data included in M (M? 3) pieces of recognition data generated in the unit of minute A second step of generating (M-1) pieces of difference data including m-th subtraction data generated by subtracting the sensing value of the m-th recognition data from the sensing value of the (m + 1) -th recognition data;
A third step of reading the generated difference data and discriminating at least one differential region having a difference value on a ridge region that is equal to or greater than a specified threshold value as a specified difference base as a minute swept region; And
And a fourth step of comparing the pore position and the minute sweeter area to authenticate that the minute sweeter area is matched with the pore position within a tolerance range.
The method according to claim 1,
Confirming a contact state of a user's body part through the sensor unit; And
And initiating effective sensing of the user's body part in a predetermined sensing period ms from a predetermined time in the contact state of the body part.
The method according to claim 1,
Sensing a user's body part in contact with the sensor unit in a specified sensing period ms; And
And acquiring data sensed from a certain time after the sensed data as effective sensing data by using the sensed data.
The method according to claim 1,
Confirming the release of contact of the body part during effective sensing of the user's body part in contact with the sensor part in a specified sensing period ms;
Determining whether a minimum sensing time set for authenticating the living body sweating has elapsed from the time when effective sensing of the body part is started upon confirming the disengagement of the body part;
And performing a biometric authentication process when the minimum sensing time has not elapsed. The biometric fingerprint authentication method according to claim 1,
The method according to claim 1,
Confirming a sensing time that has elapsed since a valid sensing start time of a user's body part in contact with the sensor unit in a specified sensing period ms;
Confirming whether the confirmed sensing time exceeds a maximum sensing time set for authenticating a living body sweating;
Further comprising the steps of: stopping or resuming effective sensing of the body part when the maximum sensing time is exceeded; and performing a procedure of resuming the effective sensing of the body part when the maximum sensing time is exceeded.
2. The method according to claim 1,
And generating recognition data in which the sensed value corresponding to the ridge area and the sensed value corresponding to the bony area are distinguished from each other so as to be distinguishable from each other.
2. The method according to claim 1,
The step of correcting the sensing value corresponding to the ridge area and the sensing value corresponding to the ridge area so as to be distinguishable and generating the recognition data corrected so as not to damage the sensing value corresponding to the pore disposed on the ridge area Wherein the fingerprint authentication method comprises the steps of:
2. The method according to claim 1,
And generating recognition data in which at least one of the contrast, contrast, and saturation of the sensed values is corrected so as to distinguish the ridge region and the bony region from each other.
2. The method according to claim 1,
Generating recognition data by correcting at least one noise among noise due to a sensor provided in the sensor unit, noise in a sensing process through the sensor unit, and noise due to contamination of a body part in contact with the sensor unit, Wherein the fingerprint authentication method comprises the steps of:
The method according to claim 1,
Further comprising the step of calculating a correction coefficient for matching the base sensing value of the ridge area of the (m + 1) -th recognition data with the base sensing value of the ridge area of the m-th recognition data,
The second step may include generating m-th order data by subtracting the sensing value of the m-th recognition data from the sensing value of the (m + 1) -th recognition data based on the correction coefficient Actual biometric fingerprint authentication method using pores and fine sweating.
The method according to claim 1,
And calculating an average of difference values of the generated difference data with respect to the ridge area and determining the difference value as a difference between the ridge area and the ridge area.
The method according to claim 1,
Further comprising the step of calculating a difference value distribution for the ridge area of the generated difference data and determining a value belonging to the specified distribution area on the difference value distribution as the difference base value of the ridge area, And fingerprint verification using microevent.
2. The method of claim 1,
And a '+' threshold value or a '-' threshold value. The method of authenticating a biometric fingerprint using pore holes and fine sweating.
The method according to claim 1,
Wherein the fingerprint is generated in a '+' peak shape or a '-' peak shape.
2. The method according to claim 1,
(M-1) pieces of difference data, and discriminating the area as a minute sweating area by combining the difference specific regions of the at least one of the difference data identified in the at least one difference data among the (M-1) pieces of difference data.
The method according to claim 1,
Wherein the fingerprint pattern is used as identification means for identifying the user,
Wherein the matching result between the pore position and the minute sweeter region is used as an authentication means for authenticating that the user is an actual user.

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