KR20160101248A - Portable secure authentication apparatus using fingerprint - Google Patents

Abstract

The present invention relates to a portable security verification apparatus using a fingerprint recognizing method, including: a fingerprint sensor unit having a fingerprint sensor; a MOC (on-card match) smart card performing user authentication; and a calculation processing unit permitting the access to data stored in a memory unit. The present invention is compact, fast, and stable in information security.

Description

[0001] The present invention relates to a fingerprint authentication method,

The present invention relates to a portable security authenticator employing a fingerprint recognition method, and more particularly, to a portable security authenticator that incorporates a fingerprint recognition unit and an on-card match (MOC) smart card, receives a fingerprint image through a fingerprint sensor, The MOC smart card performs user authentication in comparison with the previously stored user information, and when the user authentication is successful, access to the data stored in the memory is permitted and predetermined data is transmitted to the mobile terminal through the wired / wireless communication interface The present invention relates to a portable security authenticator employing a fingerprint recognition method for authenticating a user and performing a necessary operation with a mobile terminal.

In the market where existing biometrics technology is applied, physical proximity control such as access and time attendance management is the most important part, and it is mainly used in public parts such as logical access control and identification for access control of devices and systems. However, recently, bio-recognition technology has been applied to mobile devices and its application area is expanding.

Fingerprint biometrics has been widely adopted for access control in places requiring high security level such as laboratory. By attaching a fingerprint scanner to mobile devices, it can be used for security related to mobile phones. In case of mobile phone, it is not possible to acquire accurate fingerprint image with the basic input device, so a separate fingerprint image scanner is needed.

In recent years, the rapid development of information communication infrastructures such as computers, the Internet and mobile phones has urgently necessitated the security of personal information and corporate information, and the demand for Internet banking, credit card payment, mobile payment As a result, there is a need for a unique authentication means for individuals.

Accordingly, there is a demand for a fingerprint authentication-based security authentication device that can be conveniently used by an individual, and in particular, a biometric authentication using an on-card match (MOC) Based portable security authentication device is desired.

Generally, a biometric system is basically divided into a registration / enrollment process, a verification process (1: 1), and an identification process (1: N) . Authentication and recognition are selectively used depending on the application area, and the configuration of the system is also different from each other. The five components of registration, authentication, and biometric identification systems are Capture, Storage, Processing, Matching, and Decision.

The portable security authenticator employing the fingerprint recognition method of the present invention is a system utilizing fingerprint recognition, smart card, and MoC based technology.

As a conventional method of embedding encryption technology in a USB storage device and encrypting data to thereby prevent leakage of information stored when a storage device is lost, a method of inputting a logon password when using a secure USB is applied. There is a possibility that information stored in the USB storage device may be leaked when a password leakage due to leakage or hacking occurs. Accordingly, there is a need for a biometric authentication method capable of uniquely recognizing a user who is not a password system Do.

In general, Bio security tokens and secure USB memory require encryption / decryption technology, user authentication and identification, random copy protection of stored data, and deletion function to protect data in the event of lost or stolen.

It is a technology that encrypts data when transferring data to USB memory and decrypts it automatically when verifying data of USB memory. It is divided into hardware type and software type and it is provided with dedicated security chip type .

In the user authentication and identification function, it is used as a security function that incorporates a password setting function or a fingerprint recognition function in a memory area of a user and is interlocked with other functions.

In the random copy protection function of stored data, access to data in the storage memory is disabled without user authentication, thereby making data replication impossible to the outside.

In case of lost smartphone or security authentication device, it deletes memory data so that other users can not access data in personal information area. And deletion of data.

In relation to the technology of biometric authentication USB memory that uses fingerprint authentication, the existing method is mainly extracting / matching on the PC S / W due to the large amount of computation in minutiae extraction / matching operation of the data read from the fingerprint sensor I need skills to work on. The personal fingerprint information captured by the fingerprint sensor must be transmitted to the PC through the USB. At this time, privacy problems such as exposure of the living body and the security information of the individual may occur, so that extraction / matching of the fingerprint is performed in the USB memory device Structure.

Recent authentication processing methods include a form (SOC, System On Card) that performs the entire process of fingerprint capture / feature point extraction / matching in the smart card and a form (MOC, Matching On Card) Respectively.

The SOC smart card has a drawback in that a high performance CPU and a large capacity memory must be used because the fingerprint sensor and the fingerprint processing algorithm must be processed in the smart card. On the other hand, since the MOC smart card processes only the matching algorithm, it can be processed by a commercial smart card. The code used for card matching is less than 10 kbytes. RAM memory size is less than 5 kbytes, and processing speed is less than 5 seconds.

Recently, the market for mobile financial services using smart phones is increasing. Space and time constraints can be greatly reduced. In addition, financial information such as credit cards, account information, and related service information such as coupons and points can be managed through a single smartphone. However, with the concentration of personal information in mobile devices and the use of open wireless networks, the risk of information leakage, forgery and tampering by loss, theft, eavesdropping and eavesdropping also increased. Accordingly, there is a demand for a new authentication technique that has higher stability than existing authentication means and can satisfy the convenience of use.

Although biometrics can satisfy high security and ease of use due to the fact that the nature of the information can not be separated from individuals, there is no universal mobile terminal that can support sensor and hardware performance yet, It does not meet the exact recognition rate that can be used for authentication.

As a prior art, there are a portable security authentication device and system of Korean Patent Laid-Open Publication No. 2001-0095788 and an operation method thereof.

Korean Patent Laid-Open Publication No. 2001-0095788 discloses a method and apparatus for recognizing a pattern of a biometric feature (fingerprint and voice) possessed by a user and determining whether or not the user is an authorized user. In accordance with the determination result, And allows the system to be used and accessed to be opened and the system to be opened remotely.

However, in the case of the present invention, it is not compact, requires too much time for operation processing, is exposed to information, is hacked from a malicious user, is recognized by using a user information DB and a user fingerprint DB. There is a possibility that the security is not easy.

The present invention has been made to solve the above-mentioned problems, and an object of the present invention is to provide an image processing apparatus and a method for processing a fingerprint image by incorporating a fingerprint recognition unit and an on-card match (MOC) smart card, receiving a fingerprint image through a fingerprint sensor, Authenticates the user by comparing the user information stored in the card with the password stored in the card through the biometric matching program installed in the card, permits access to the data stored in the memory when the user authentication is successful, And a portable security authenticator employing a fingerprint recognition method, which is transmitted to a mobile terminal through a communication interface and authenticated to perform a necessary operation with the mobile terminal.

Another problem to be solved by the present invention is to extract the feature information of the fingerprint image and to provide various services installed in the MOC smart card such as OTP One-time password, one-time password, PKCS (Public-Key Cryptography System), eID, payment, and the like.

Another problem to be solved by the present invention is to store and manage the fingerprint information of the user in the security memory area of the smart card through the bio registration / authentication manager program and to provide the smart card on-card match fingerprint recognition algorithm And a portable security authentication system employing a fingerprint recognition method that grants an access right to use personal information and stored data through a wired / wireless interface connected to a smartphone / tablet for an authenticated user Lt; / RTI >

Another object of the present invention is to provide a biometric authentication method in which authentication is performed by comparing biometric information stored in a smart card with externally inputted biometric information and then an authenticated user uses a mobile phone or various services, And a portable security authenticator employing a fingerprint recognition method which is configured to store biometrics information in a smart card by using a biosafety authentication platform and a biometrics authentication solution, and to process user authentication in a smart card.

According to an aspect of the present invention, there is provided a fingerprint authentication system comprising: a fingerprint sensor unit having a fingerprint sensor, the fingerprint sensor being mounted to be exposed to a housing portion of a security authentication device; The MOC smart (smart) smart card, which stores the encrypted user fingerprint information and compares the feature information of the fingerprint received from the operation processing unit with the user fingerprint information using a bio matching algorithm, Card; Extracting feature points from the fingerprint image received from the fingerprint sensor, transmitting the extracted feature points to the MOC smart card, receiving the user authentication result from the MOC smart card, allowing access to the data stored in the memory unit if the user authentication is successful, And an arithmetic processing unit.

MOC smart cards include OTP applets, PKCS applets, eID applets, HPTP applets, Payment applets and E-Cash applets.

The fingerprint sensor is a swipe sensor.

A blue pitcher communication unit, a WiFi communication unit, an NFC communication unit, and a USB connector unit.

The memory unit may store the password of any one of an external mobile terminal, a POS terminal, and a computer terminal.

The operation processing unit receives the user authentication result from the MOC smart card and, if the user authentication is successful, transmits the OTP applet, the PKCS applet, the eID applet, the HPTP applet, the payment applet, the E-cash applet .

 The MOC smart card determines the degree of similarity between two fingerprint images using extracted minutia information and pre-stored user fingerprint information.

The arithmetic processing section thinning the fingerprint image, extracting a disadvantage point and a branch point information in which a change occurs in the ridge flow from the thinning image, extracting candidate feature points, removing pseudo feature points from the extracted candidate feature points, .

The MOC smart card calculates an amount of rotation and transition in which the feature information of the fingerprint received from the operation processing unit and the feature points of the two fingerprint images of the stored user fingerprint information are overlapped to the greatest extent to select the alignment reference point of the image, And then calculates the similarity (Measure Vector) using the coordinates, type, and angle information of the determined pair of corresponding feature points, and calculates the similarity (Measure Vector) from the similarity of the corresponding pair of feature points, Is output to the arithmetic processing unit as a score in accordance with predetermined rule data.

According to the portable security authenticator employing the fingerprint authentication method of the present invention, a fingerprint image recognition unit and an on-card match (MOC) smart card are built in. A fingerprint image is received through a fingerprint sensor, Information is transmitted to the MOC smart card, the user authentication is performed by comparing the user information stored in the card with the password information stored in the card through the biometric matching program installed in the card, and if the user authentication is successful, access to the data stored in the memory is permitted , Transmits predetermined data to the mobile terminal through the wired / wireless communication interface, and authenticates the mobile terminal so that the mobile terminal can perform necessary operations.

In addition, the present invention extracts feature information of a fingerprint image, and provides various services installed in the MOC smart card, such as OTP (One Time Password, One-time password), PKCS (Public Key Cryptography System), eID, payment, and so on.

In addition, the present invention stores and manages the fingerprint information of the user in the secure memory area of the smart card through the bio-registration / authentication manager program, and performs an on-card match fingerprint recognition algorithm of the smart card on the input fingerprint information, And authorizes the authenticated user to use personal information and stored data via the wired / wireless interface with the smartphone / tablet.

In addition, the present invention compares the biometric information stored in the smart card with the biometric information input from the outside, performs authentication, and allows the authenticated user to use a mobile phone or various services. On-card match technology and biometric security authentication The biometric information is stored in the smart card using the platform and the biometric authentication solution, and the user authentication is processed in the smart card.

Therefore, the present invention is compact, fast, and more stable in information security.

INDUSTRIAL APPLICABILITY The present invention can be applied to various application systems such as an automobile, a POS, an ATM, a mobile phone, a personal computer, a card reader, and the like.

1 is an example of the appearance of a portable security authenticator employing the fingerprint recognition method of the present invention.
2 is a schematic diagram for explaining the use of a portable security authenticator employing the fingerprint recognition method of the present invention.
3 is a block diagram schematically illustrating the configuration of the portable security authenticator of FIG.
4 is a schematic diagram schematically illustrating the configuration of the MOC smart card.
5 is a schematic diagram for explaining the concept of signal detection in the fingerprint sensor of FIG.
6 is a flowchart schematically illustrating a fingerprint recognition process in the portable security authenticator of the present invention.
7 is a flowchart illustrating the feature extraction step of FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a portable security authenticator employing a fingerprint recognition method according to the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is an example of the appearance of a portable security authenticator employing the fingerprint authentication method of the present invention, FIG. 2 is a schematic diagram for explaining use of a portable security authenticator employing the fingerprint authentication method of the present invention, and FIG. 3 FIG. 4 is a schematic diagram for explaining the configuration of the MOC smart card. As shown in FIG.

1, the portable security authenticator 10 incorporates a fingerprint sensor unit 150 and an MOC smart card 200 inside a security authenticator housing 20, and a security authenticator housing 20 The fingerprint sensor of the fingerprint sensor unit 150 is exposed to the outside. Although not shown in FIG. 1, the portable security authenticator 10 may further include a switch for starting operation or the like.

As shown in FIG. 2, the fingerprint image is received through the fingerprint sensor, the feature information is extracted, and the user authentication is performed by comparing the stored user information with the MOC smart card 200. If the user authentication is successful, And transmits the predetermined data (e.g., data (password, password, etc.) required for authentication) to the wired / wireless communication interface, that is, the blue pitcher communication unit 120, the WiFi A point of sale (POS) terminal, a terminal 530 of a computer via a communication unit 130, an NFC (Near Field Communication) communication unit 140, and a USB connector unit 110, And makes the terminal 530 perform a necessary operation such as OTP, PKCS, eID, payment, etc. in the mobile terminal 510, the POS terminal, and the computer.

3, the portable security authenticator 10 includes an operation processing unit 100, a fingerprint sensor unit 150, an MOC smart card 200, a memory unit 170, a battery unit 190, a blue pitcher communication unit 120, a WiFi communication unit 130, an NFC communication unit 140, and a USB connector unit 110.

The operation processing unit 100 is a means for taking charge of the overall control of the portable security authenticator 10 and may be constituted by a CPU. As the CPU of the arithmetic processing unit 100, an STM32F4 series processor of ST or SAMA5 series of Atmel can be used.

The operation processing unit 100 receives the fingerprint image through the fingerprint sensor unit 150, processes the fingerprint image to extract feature information of the fingerprint, and transmits the feature information of the extracted fingerprint to the MOC smart card 200 , The MOC smart card 200 receives the user authentication result, determines whether the user authentication is successful, and permits access to the data stored in the memory unit 170 if the user authentication is successful.

The fingerprint sensor unit 150 includes a fingerprint sensor, a fingerprint sensor driver, and the like.

The fingerprint sensor is means for acquiring image information of a fingerprint, and detects the fingerprint image and transmits the fingerprint image to the operation processing unit 100. [ The fingerprint sensor can use a SWIPE sensor. As the sweep sensor, a CMOS sensor capable of recognizing 128 x 8 pixels can be used.

Generally, a fingerprint sensor is divided into a plane sensor that recognizes the entire fingerprint at one time and a swipe sensor that recognizes the fingerprint by moving a finger to the sensor in the form of a line sensor. In the sweep sensor, the price is low and the area is small do.

The fingerprint sensor driving unit drives the fingerprint sensor according to the fingerprint sensing request signal of the operation processing unit 100 to detect the fingerprint image.

The MOC smart card 200 receives feature information of the fingerprint received from the operation processing unit 100 and transmits the fingerprint feature information to the MOC smart card 200 through a bio matching algorithm installed in the MOC smart card 200 Performs user authentication by comparing with the user information stored in the password, and transmits the result to the operation processing unit (100).

As shown in FIG. 4, the MOC smart card 200 may include an OTP, a PKCS, an eID, an HPTP, a payment (Payment) , And an electronic cash (E-Cash).

The memory unit 170 stores data to be accessed after the user authentication in the MOC smart card 200. [ The memory unit 170 includes an SD memory, that is, a Secure uSD and is accessed after successful user authentication. The memory unit 170 stores information for authentication in the mobile terminal 510, the POS terminal, the terminal 530 of the computer, For example, a password. After the user authentication is performed in the MOC smart card 200, the MOC smart card 200 transmits predetermined information to the arithmetic processing unit 100 in response to a request from the arithmetic processing unit 100.

The battery unit 190 is a power supply unit in the portable security authenticator 10.

The blue pitcher communication unit 120 transmits information received from the operation processing unit 100 to the mobile terminal 510, the POS terminal, the terminal 530 of the computer, and the like through Bluetooth.

The WiFi communication unit 130 transmits information received from the operation processing unit 100 to the mobile terminal 510, the POS terminal, the terminal 530 of the computer, and the like through WiFi.

The NFC communication unit 140 transmits information received from the operation processing unit 100 to the mobile terminal 510 or the like through NFC communication.

The USB connector unit 110 includes a USB connector and a USB driver, and transmits / receives data to / from the operation processor 100 and the terminal 530 of an external computer through a USB connector.

5 is a schematic diagram for explaining the concept of signal detection in the fingerprint sensor of FIG.

5 (a) illustrates a method of using a sweep sensor as a fingerprint sensor. The finger moves from the top to the bottom of the fingerprint sensor, and the fingerprint sensor acquires the fingerprint image at this time.

FIG. 5B illustrates a process of acquiring a fingerprint image when a finger is moved as shown in FIG. 5A. As shown in FIG. 5B, .

Since the present invention needs to process authentication in the MOC smart card 200, fingerprint information, a card operating system (COS), an application (fingerprint recognition algorithm, etc.) are stored in the MOC smart card 200 and user authentication is performed .

FIG. 6 is a flowchart schematically illustrating a process of fingerprint recognition in the portable security authenticator of the present invention, and FIG. 7 is a flowchart illustrating the feature extraction process of FIG.

In the data capturing step S110, the user's fingerprint information is stored in the MOC smart card 200 at the initial stage of use. That is, in the MOC smart card 200, The fingerprint sensor unit 150 receives multiple fingerprint images at each moment from the fingerprint sensor unit 150 in accordance with the movement of the finger from the upper side to the lower side of the fingerprint sensor and performs image registration with one image, And stores it in the card 200. In some cases, features may be extracted from the image-matched fingerprint image and stored together.

The subsequent steps of the data capture step S110 are processed in the MOC smart card 200 to perform user authentication. The subsequent steps of the data capturing step S110 are performed in two stages: a fingerprint detection and a feature extraction step S150 and a fingerprint matching step 200. [

 A minutiae data file to be used in the fingerprint matching step is formed by the fingerprint detection and feature extraction step (S150). The fingerprint sensor 150 receives the fingerprint images of each moment in multiple layers, And the feature is extracted from the fingerprint image matched with one image.

The feature extraction step proceeds to three steps: a pre-processing step S160, a feature point extraction step S170, and a post-processing step S180.

The preprocessing step S160 is a step of thinning the fingerprint image. The preprocessing step S160 performs image enhancement, binarization of the image-improved fingerprint image, and thinning.

That is, the preprocessing step (S160) is a process of converting into a block directional image, a binarized image, and a thinned image. The fingerprint image is divided into blocks of a predetermined size, and a direction indicating the flow of ridges is determined for each block, and the image is converted into a direction image per block. The obtained ridge direction information is used for the binarization and smoothing process. In the process of binarization, the fingerprint image is transformed into a binary image, which is expressed only in black and white, and the binary image is smoothed by eliminating noise and emphasizing the fusion, thereby improving the connectivity of the image. The image is converted into a thinning image,

The feature point extracting step S170 is a step of extracting candidate feature points from the thinned fingerprint image in the preprocessing step S160.

Here, a minutiae refers to a point where a ridge called a ridge called a branch point (a point where a ridge flows off) and a branch point (a ridge splits into two ridge) are changed. The feature quantities (T = {m1, m2, ..., mm}) consist of the information of the minutiae (mi) existing in the fingerprint image. In most cases, The type of the feature point, the position in the fingerprint image, and the direction of the ridge where the feature point is located.

That is, the feature point extracting step S170 is a candidate feature point extracting step, and stores a disadvantage point and a bifurcation point in which a change occurs in the ridge flow from the thinned image. Extract candidate feature points including pseudo minutiae from the rinse information of the thinned image. At this time, pseudo minutia points may be generated due to erroneous ridge portions of the thinned image. Pseudo minutia refers to the fake minutiae that occur during the thinning process due to the noise during fingerprint acquisition. The pseudo minutiae point increases the amount of meaningless computation and increases the error, which degrades the performance of the system.

The post-processing step S180 is a step of removing fake feature points from the feature points extracted in the feature point extracting step S170. That is, in the post-processing step (S180), the ridge portion causing the pseudo minutiae is corrected to remove the pseudo minutiae points, and the missing minutiae are added to extract the final minutiae.

In the fingerprint matching step 200, the matching algorithm of the fingerprint recognition method using the feature points determines the similarity between the two fingerprint images using the feature values defined from the feature point information extracted by the extraction algorithm. The matching algorithm is divided into three steps as shown in Fig. 16: Image Alignment, Mnutiae Matching, and Scoring.

The fingerprint matching step 200 is a step of determining the similarity between two fingerprint images using the feature quantities defined from the extracted minutia information and includes an image alignment step S210, , And a scoring step (S250).

In the aligning step (S210), rotation and transition amounts at which the feature points of the two fingerprint images overlap the most are calculated to select an alignment reference point of the image. Then, the coordinates of the minutiae points are converted so as to be aligned with the alignment reference point, and then the corresponding pair of minutiae are determined. At this time, it is necessary to perform as many candidate alignments as possible in order to find an ideal rotation shift amount.

In the matching step (S230), the similarity (Measure Vector) is calculated using the coordinate, type, and angle information of the corresponding pair of feature points determined in the aligning step (S210). In order to reflect the similarity of pairs of corresponding feature points in real terms, various statistical techniques can be considered at various angles in the similarity determination method.

In the scoring step S250, the degrees of coincidence of the two fingerprint images from the similarity pair (Measure Vector) of the corresponding pair of feature points are indicated by points according to predetermined rule data.

The rule data is data set in advance by using statistical basis and mathematical modeling in decision making of the score calculation rule in order to accurately reflect the degree of matching of images as in the matching step.

As described above, the present invention relates to a portable security authentication technology and a security authentication device based on bio-authentication using On-Card Match (MOC) for biometric identification using fingerprint information and safe personal information security management.

The operation processing unit 100 of the present invention first receives a fingerprint image through the fingerprint sensor unit 150 of the portable security authentication terminal, processes the input fingerprint image to extract feature information of the fingerprint, To the MOC smart card 200 and compares the user information stored in the card with the encrypted user information through an applet of the biometric matching algorithm installed in the MOC smart card 200 to perform the final user authentication. If the user authentication is successful, the data stored in the memory unit is allowed to be accessed, and transmitted to the mobile terminal through the wired / wireless communication interface, and authenticated to perform necessary operations. It also allows access to various service applets (OTP, PKCS, eID, payment, etc.) installed on the MOC smart card through user authentication.

In the present invention, a new user fingerprint is encrypted and stored in the MOC smart card 200 through the portable security authenticator login manager of the present invention. Thereafter, the user inputs a fingerprint to the fingerprint sensor to use the portable security authenticator, and the MOC smart card 200 is transmitted to the MOC smart card 200 through the fingerprint recognition algorithm provided by the bio security platform of the MOC smart card 200, And performs a user authentication through a matching process. The authorized user is allowed to use the applet service of the MOC smart card 200 through the biosecurity platform of the MOC smart card 200.

In addition, the present invention provides a function to prepare for theft or loss of a storage device by activating an encryption / decryption algorithm for the stored security data, and the user authentication / authentication using the portable security authenticator program, applet management, memory management Function.

In the foregoing, the present invention has been shown and described with reference to certain preferred embodiments. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention as defined in the appended claims. .

10: Portable security authenticator 20: Security authenticator housing
100: operation processing unit 110: USB connector unit
120: Blue pitcher communication unit 130: WiFi communication unit
140: NFC communication unit 150: fingerprint sensor unit
170: memory unit 190: battery unit
200: MOC smart card

Claims (9)

A fingerprint sensor unit having a fingerprint sensor, the fingerprint sensor unit being mounted so as to be exposed to the housing portion of the security authentication apparatus;
The MOC smart (smart) smart card, which stores the encrypted user fingerprint information and compares the feature information of the fingerprint received from the operation processing unit with the user fingerprint information using a bio matching algorithm, Card;
Extracting feature points from the fingerprint image received from the fingerprint sensor, transmitting the extracted feature points to the MOC smart card, receiving the user authentication result from the MOC smart card, allowing access to the data stored in the memory unit if the user authentication is successful, An operation processing unit;
Wherein the portable security authenticator comprises: The method according to claim 1,
The MOC smart card includes an OTP applet, a PKCS applet, an eID applet, an HPTP applet, a payment applet, and an e-cash applet. The method according to claim 1,
Wherein the fingerprint sensor is a swipe sensor. 3. The method of claim 2,
A blue pitcher communication unit, a WiFi communication unit, an NFC communication unit, and a USB connector unit. The method according to claim 1,
Wherein a password of any one of an external mobile terminal, a POS terminal, and a computer terminal is stored in the memory unit. 3. The method of claim 2,
The operation processing unit receives the user authentication result from the MOC smart card and, if the user authentication is successful, transmits the OTP applet, the PKCS applet, the eID applet, the HPTP applet, the payment applet, the E-cash applet To the one or more of the plurality of portable security authenticators. The method according to claim 1,
Wherein the MOC smart card determines similarities between the two fingerprint images using extracted minutia information and pre-stored user fingerprint information. 8. The method of claim 7,
The arithmetic processing section thinning the fingerprint image, extracting a disadvantage point and a branch point information in which a change occurs in the ridge flow from the thinning image, extracting candidate feature points, removing pseudo feature points from the extracted candidate feature points, The authentication server comprising: 9. The method of claim 8,
The MOC smart card calculates an amount of rotation and transition in which the feature information of the fingerprint received from the operation processing unit and the feature points of the two fingerprint images of the stored user fingerprint information are overlapped to the greatest extent to select the alignment reference point of the image, And then calculates the similarity (Measure Vector) using the coordinates, type, and angle information of the determined pair of corresponding feature points, and calculates the similarity (Measure Vector) from the similarity of the corresponding pair of feature points, To the calculation processing unit as a score according to predetermined rule data.

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