JP2004021491A - Biometric pattern authentication device, biometric pattern authentication method, and program describing this method - Google Patents

Abstract

An object of the present invention is to perform high-speed collation at the time of authentication, whether the resolution is low or high.
A recording device registers biometric pattern information at a first resolution, an information reading device acquires biometric pattern information at a first resolution or a second resolution lower than the resolution, and a recording device registered in the recording device. Resolution changing section 203 for changing the biological pattern information of the first resolution to biological pattern information of the second resolution, the biological pattern information obtained by the information reading device and the biological pattern of the first resolution from the recording device A matching unit 204 that matches information or biometric pattern information with a second resolution from the resolution reducing unit, and a first resolution from the recording device according to the resolution of the biometric pattern information acquired by the information reading device. A switching unit 205 for inputting the biological pattern information or the biological pattern information of the second resolution from the resolution reducing unit to the matching unit.
[Selection diagram] FIG.

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a biometric pattern authentication device such as a fingerprint, a biometric pattern authentication method, and a program describing the method, and more particularly to a biometric pattern authentication device capable of performing authentication by switching resolutions, and a biometric pattern authentication method. And a program describing this method.
[0002]
[Prior art]
2. Description of the Related Art Conventionally, in an authentication system using a personal authentication device based on biometric information, when a fingerprint is used as personal authentication, patterns of ridges and valleys of the fingerprint are imaged, and their characteristic data (end point coordinates, branch point coordinates, intersection points) are taken. The coordinates are converted to coordinates, center coordinates, ridge directions, distances between feature points, number of ridges between feature points, and the like, and authentication is performed. At this time, for example, it is known that children and adults are judged by reading the ridge pitch, and when the child has a fine ridge pitch, imaging is performed at a higher resolution.
[0003]
In Japanese Patent Application Laid-Open No. 2000-194848, the ridge pitch of a fingerprint as described above is measured, and a high resolution of a pixel pitch of 25 μm and an image with a small area are obtained. This is for switching when imaging is performed.
[0004]
In order to upgrade the system without requiring the user to re-register even if the sensor or the authentication algorithm is changed, a technique disclosed in, for example, JP-A-2001-084371 is known. In this method, a registration condition (for example, resolution) is registered together with biometric information such as a fingerprint as registration data, and after changing the resolution of the sensor itself, the resolution of the registration data is changed according to the collection condition.
[0005]
[Problems to be solved by the invention]
However, in the system disclosed in Japanese Patent Application Laid-Open No. 2000-194848, it is necessary to perform registration and authentication in the same mode. If so, authentication cannot be performed due to the difference in resolution. In addition, in the case of a child who is growing rapidly, even when the child is registered, if it is determined that the ridge pitch of an adult is less than one year later, personal authentication cannot be performed.
[0006]
Further, in the system disclosed in Japanese Patent Application Laid-Open No. 2001-084371, when increasing the resolution, an algorithm for increasing the image size by interpolation or the like is required separately, and there is a problem that the circuit becomes complicated.
[0007]
[Means for Solving the Problems]
The biometric pattern authentication device according to the present invention includes a registration unit that registers biometric pattern information at a first resolution;
Acquiring means for acquiring biological pattern information at the first resolution or at a second resolution lower than the first resolution;
Changing means for changing the first resolution biometric pattern information registered in the registration means to the second resolution biometric pattern information;
A matching unit that matches the biological pattern information obtained by the obtaining unit with the biological pattern information of the first resolution from the registration unit or the biological pattern information of the second resolution from the changing unit;
According to the resolution of the biometric pattern information acquired by the acquisition means, biometric pattern information of the first resolution from the registration means or biometric pattern information of the second resolution from the change means is input to the matching means. And a switching unit for performing the authentication.
[0008]
The biometric pattern authentication method of the present invention registers biometric pattern information at a first resolution, and obtains biometric pattern information for the biometric pattern authentication at a second resolution lower than the first resolution. When obtaining biometric pattern information, the biometric pattern authentication method performs authentication of a biometric pattern by changing the first resolution of the registered biometric pattern information to the second resolution.
[0009]
A program according to the present invention is a program describing the biological pattern authentication method according to the present invention.
[0010]
In the present invention, the resolution of the biometric pattern information acquired at the time of authentication can be switched not only in the imaging device but also in a memory in the system or application software having the authentication algorithm.
[0011]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
[0012]
FIG. 1 is a block diagram of the authentication device of the present invention when a fingerprint is assumed as pattern information of a living body. This system can be roughly divided into two blocks, one is an "information reader" that reads biometric pattern information, and the other is a "host server" that runs an authentication algorithm. In this embodiment, the authentication unit (authentication system) is configured by connecting the “information reading device” and the “host server” via a communication line or the like by the communication unit. One of them may be provided with respective components of an “information reading device” and a “host server” to constitute an authentication device (in this case, a communication unit is not required).
[0013]
First, the “information reading device” will be described. In this information reading device, the sensor 10 is a sensor that can read a fingerprint, such as an image sensor that reads the capacitance of ridges and valleys of a fingerprint or an image sensor that optically reads a fingerprint pattern. Although this device is a sensor that reads optically, the description will be made based on the characteristics of the capacitance type sensor as appropriate.
[0014]
First, after the fingerprint pattern is read by the sensor 10, the analog signal is applied with an appropriate gain by an AGC (auto gain controller) 40, and then by an A / D converter (analog / digital converter) 70. It is converted to a digital signal.
[0015]
The fingerprint pattern converted into a digital signal is written into a memory 80 capable of storing one frame, which is the total number of pixels of the sensor 10. After that, the data is read from the memory 80 to the externally connected “host server” via the communication unit 110 that exchanges data with the “host server”.
[0016]
The above is the data flow in the “information reading device”.
[0017]
The communication unit 110 described here will be described with reference to FIG.
[0018]
Here, the data from the memory 80 is encrypted once in the encryption / decryption unit 111. After that, the transmission / reception data creation unit 112 converts the packet information into packet information, the modulation / demodulation unit 113 modulates the packet information to a transmission speed corresponding to the network, and sends it to the “host server” via a line interface (line I / F) 114. Is sent to
[0019]
Although not shown, for example, in response to a command request signal for changing resolution data from the “host server”, the data is received by the line interface 114, the data is demodulated by the modulation / demodulation unit 113, and transmission / reception data generation is performed. The packet information is reassembled by the unit 112, decrypted by the encryption / decryption unit 111, and written into the register 120 of the “information reader”. Here, encryption is also considered in consideration of the network, but if the communication unit 110 in FIG. 1 performs one-to-one communication, for example, a parallel port connection with a PC (personal computer), In the case of a USB connection or the like, it is not necessary to perform encryption, and the block is a block for creating a device conforming to the communication standard.
[0020]
As a control flow other than data in the information reading device, the controller 90 interprets a command from the host server in which the register 120 is written, and transmits a signal for performing each operation. For example, in the case of a command to change the resolution in the image sensor, a resolution switching signal is transmitted to a TG (timing generator) 60 to switch to a high resolution mode or a low resolution mode, thereby changing the resolution of the imaging device. By transmitting to the communication unit 110, an operation of changing the total number of pixels to be read is performed.
[0021]
This makes it possible to switch the image resolution within the image sensor in accordance with a signal from an external device to which an “information reading device” called “host server” is connected. In the case where the resolution cannot be changed in the image sensor, the resolution can be changed by thinning out data during the writing operation to the memory 80.
[0022]
Controls other than the variable resolution control include increasing and decreasing the gain and controlling the LEDs. This is because, for example, when the difference between the ridges and valleys of the fingerprint is not clear, an instruction is transmitted from the controller 210 to the register 120 through the communication unit 230 and the communication unit 110, and the DA (digital / analog) is sent from the controller 90. The controller 50 converts the digital signal into an analog signal, and performs an operation of increasing or decreasing the gain. If the light amount is still large, the lighting time of the LED 30 is reduced or turned off by the TG 60. Conversely, when the light amount is small, an operation of extending the lighting time of the LED 30 is performed. Here, a sensor for measuring the capacitance of a fingerprint does not require an LED for illumination, nor does it need a device that sequentially performs gain such as AGC. However, a finger such as a dry finger or a wet finger is not required. When the capacity changes in the state, it is necessary to switch the gain. FIG. 8 is a schematic configuration diagram showing an image input device that optically reads a fingerprint pattern. In the image input device illustrated in FIG. 8, the finger is illuminated by the LEDs 30 arranged on both sides of the finger, and the light scattered and reflected inside the finger is incident on the sensor (here, the image sensor) 10, and the fingerprint of the finger is detected. It is designed to read. In addition, a finger on one side of the triangular prism is arranged, an LED is arranged on the other side, an image sensor is arranged on the other side, light from the LED is irradiated on the finger, and the reflected light is incident on the image sensor. The configuration may be as follows.
[0023]
Further, this information reading device is provided with a human body detecting element 20. At the time of registration and authentication, for example, the electric resistance of the human body is detected, or the heat of the human body is detected using infrared rays. Since this is stored in the register 120, it is once converted into a digital value by the A / D converter 70. The data passing through the A / D converter 70 from the human body detecting element 20 is mainly used when the sensor 10 is stopped. However, the data such as the vertical blanking time or the horizontal blanking time of the image from the sensor 10 is effective. When the image data is not appropriate, the image data can be switched quickly and used for data from the human body detecting element 20. The value of the human body detection written in the register 120 can be freely taken out by a request from the host server as long as the line is not used.
[0024]
Further, the status of the controller 90 can be written in the register 120, and the host can grasp the current state of the information reading apparatus as long as the line is not used.
[0025]
The above is the description of the blocks in the information reading apparatus of FIG.
[0026]
Next, the data flow in the “host server” will be described. The communication unit 230 in the “host server” receives the fingerprint data from the “information reading device”. This is the same configuration as that of FIG. 2. The line I / F 114 receives the data, modulates the data with the modulation / demodulation unit 113, and reassembles the packet information into data with the transmission / reception data creation unit 112.
[0027]
After that, arithmetic processing is performed in the arithmetic processing unit 200, which will be described with reference to FIG. Here, the feature data extracting unit 201 extracts the end points and the branch points of the fingerprint pattern from the image data from the information reading device. Also, here, the number of the extracted feature points, an error signal is transmitted to the communication unit 230 when it is equal to or less than a certain threshold, and the information reading device adjusts the gain based on the information, or adjusts the intensity of the LED, or By changing the lighting time of the LED or the like, feedback is performed so that a feature point is extracted above the threshold value.
[0028]
After that, the extracted feature points are converted into relative coordinates by the coordinate conversion unit 202, and at the time of fingerprint registration, the registration / collation switch 205 is registered in the recording device 220 with the high-resolution extracted data as it is in the state of FIG. 3. At the time of collation, image data from the information reading device is input through the communication unit 230. After the feature points are extracted by the feature point extracting unit 201, the process proceeds to the matching unit 204. On the other hand, the fingerprint registration data stored in the recording device is directly transferred to the collation unit 204 by the registration / collation switch 205 so that the block passes as it is when the collation has a high resolution. When the collation is low resolution, the switch 205 is selected so that the resolution reduction unit 203 performs the process of reducing the resolution of the feature points of the registered data. After that, the registered feature points advance to the matching unit 204, where a matching process is performed and matching is performed. If a match is found here, the host server of FIG. 1 writes a collation confirmation signal from the controller 210 to the register 120 through the communication unit 230 and the communication unit 110, and the controller 90 interprets the command and transmits it to the display unit 100. Thus, the information is displayed in a form that the user can visually recognize, for example, by turning on an LED. The detailed operation of the LED will be described later in a flowchart.
[0029]
Before the feature point extraction unit 201, the exposure amount determination unit 206 monitors the exposure amount of the image data, and feeds back to the information reading device whether the exposure amount is appropriate before extracting and calculating the feature points. .
[0030]
As will be described later in the flowchart, the feature point number comparison unit 207 compares the feature points calculated from the acquired image data with the number of registered feature points at the time of collation, and determines the number of feature points of the acquired image. If there are more, the data can be newly registered.
[0031]
In the update of the registration data, although not shown here, when the user performs ID input at the time of registration, the input time is stored, and the next time the user inputs the ID, the timer is transmitted to the controller 210. Control may be provided so that the update is performed after a certain period of time. At that time, the registration is performed by directly switching the registration / collation switch 205 from the controller 210. In addition, the resolution at this time must be driven at a high resolution, and the content of the high resolution is transmitted from the controller 210 to the information reading device through the communication unit 230.
[0032]
The above is the description of the blocks in the host server of FIG.
[0033]
Next, an example of the operation flow of this system will be described in more detail with reference to the flowcharts of FIGS.
[0034]
Here, FIG. 4 is an operation flow when registering a fingerprint pattern of an individual before using the authentication device of the present invention.
[0035]
When the operation of registering a fingerprint pattern is started (step S100), personal information is registered first (step S101). Here, input is made from the keyboard or voice input of the terminal, but necessary personal information, for example, name, address, TEL (telephone number), work place, annual income, etc. are input, and the host server examines the personal information, The ID number is notified to the user (step S102).
[0036]
Thereafter, the user inputs the issued ID in advance for fingerprint registration (step S103). The host server determines whether the input ID is the same as the ID registered in advance (step S104). If an error is found in the ID determination, the error 1 display indicates that the ID number is different, or a notification of unregistered personal information is made (step S105). Thus, the process starts again with registration of personal information (step S101) or input of ID (step S103). If the ID is OK, the human body is detected.
[0037]
Here, whether or not it is a human body is detected (step S106). In this method, the human body detection data value is written in the register 120 in advance before fingerprint imaging, and the data is read and determined by the host server. If it is unlikely that a human body is used, the user is notified of this by displaying Error 2 or that the human body is to be detected again (step S107).
[0038]
After that, if the human body detection is OK, the sensor is driven (step S108), and the exposure is adjusted (step S109). Here, the brightness of the LED and the gain of the image are determined to some extent by default, and high resolution is set. To obtain a fingerprint image (step S110). After that, the image information is transmitted to the host server, and the exposure amount is determined (step S111). At this time, if the image is too dark or too bright with the default setting, the host server feeds it back to the information reading device in real time, and the gain is controlled by the AGC 40 as described above, or the light amount is adjusted by the LED 30, Alternatively, the lighting time of the LED is controlled so that an appropriate image can be obtained. After that, if the exposure amount is not determined, there is a cause such as the finger being dirty or the fingerprint of the finger being difficult to read. Therefore, an error 3 display such as using another finger is displayed (step S112). The image is acquired again. If OK, feature points are extracted (step S113), and the feature points of the finger are registered together with the relative positional relationship, ID number, and the like (step S114). The user is notified that the registration has been completed (step S115), and the operation of registering the fingerprint pattern ends (step S116).
[0039]
Here, when a sensor for measuring the capacitance of the fingerprint is used, when the fingerprint image is rubbed or the fingerprint pattern is not clear in the exposure amount determination, first, the finger is a dry finger or a wet finger. Is switched, and if it is still out of the range of the exposure adjustment, an error 3 is displayed to tell the user to wipe his / her finger, and the image acquisition is performed again. If the result is OK, the feature point of the finger is registered together with the relative positional relationship and the ID number. The user is notified that the registration has been completed.
[0040]
Next, FIG. 5 is a flowchart when fingerprint authentication is actually performed at a high resolution using the fingerprint registered in FIG.
[0041]
When the fingerprint authentication operation is disclosed (step S200), the user inputs an ID here (step S201), and the host server determines whether the input ID is the same as an ID registered in advance. It is determined (step S202). If an error occurs in the ID determination, the error number 1 is displayed in the error 1 display, or a notification of unregistered personal information is given (step S203). Thereby, registration of personal information or input of an ID is started again. If the ID is OK, the human body is detected (step S204). Here, it is determined whether the object is a human body or not, and if it is unlikely to be a human body, the fact is indicated by displaying Error 2 or the human body is detected again (step S215). On the other hand, a step of extracting the registered data registered with the ID number is performed, and the collating unit 204 in FIG. 3 stands by (step S214).
[0042]
Thereafter, if the human body detection is OK, the sensor is driven (step S205), and the exposure is adjusted (step S206). As described above, the brightness of the LED and the gain of the image are determined to some extent by default as described above. A fingerprint image is obtained with high resolution (step S207). After that, the image information is transmitted to the host server, and the exposure amount is determined (step S208). At this time, if the image is too dark or too bright with the default setting, the host server feeds it back to the information reading device in real time, and the gain is controlled by the AGC 40 as described above, or the light amount is adjusted by the LED 30, Alternatively, the lighting time of the LED is controlled so that an appropriate image can be obtained. After that, if the exposure amount is not determined, there is a cause such as the finger being dirty or the fingerprint of the finger being difficult to read. Therefore, an error 3 display such as using another finger is displayed (step S209). The image is acquired again.
[0043]
If the exposure amount is determined to be OK, feature points are extracted from the image (step S210), and at the same time, matching is performed with fingerprint information already registered with the ID number (step S211). . If an error occurs, the error 4 is displayed (step S212), and the process is restarted from the image acquisition, or since the registered fingerprint is expected to be different from the ID, the process is restarted from the input of the ID (step S213). If OK, an authentication completion notification is made (step S216), and the fingerprint authentication operation ends (step S217).
[0044]
FIG. 6 is a flowchart when fingerprint authentication is performed at a low resolution using the fingerprint registered in FIG.
[0045]
When the fingerprint authentication operation is disclosed (step S300), the user inputs an ID here (step S301), as in FIG. 5, and the host server registers the input ID in advance. It is determined whether it is the same as the ID (step S302). If an error occurs in the ID determination, the error 1 display indicates that the ID number is different, or the personal information is not registered (step S303). Thereby, registration of personal information or input of an ID is started again. If the ID is determined to be OK, human body detection is performed (step S304). Here, it is determined whether the object is a human body or not, and if it is unlikely to be a human body, the fact is indicated by displaying Error 2 or the human body is detected again (step S315). On the other hand, a step of taking out the registered data registered with the ID number is performed. For low-resolution authentication, the registered data is reduced in resolution in the resolution reducing section 203 in FIG. (Step S314).
[0046]
After that, if the human body detection is OK, the sensor is driven (step S305) and the exposure is adjusted (step S306). As described above, the brightness of the LED and the gain of the image are determined to some extent by default as described above. A fingerprint image is obtained at a low resolution (step S307). After that, the image information is transmitted to the host server, and the exposure amount is determined (step S308). At this time, if the image is too dark or too bright with the default setting, the host server feeds it back to the information reading device in real time, and the gain is controlled by the AGC 40 as described above, or the light amount is adjusted by the LED 30, Alternatively, the lighting time of the LED is controlled so that an appropriate image can be obtained. After that, if the exposure amount is not determined, there is a cause such as the finger being dirty or the fingerprint of the finger being difficult to read. Therefore, an error 3 display such as using another finger is displayed (step S309). The image is acquired again.
[0047]
If the exposure amount is determined to be OK, feature points are extracted from the image (step S310), and at the same time, matching is performed with fingerprint information already registered with the ID number (step S311). . If there is an error, the error 4 is displayed (step S312), and the process is repeated from the image acquisition, or since the registered fingerprint is expected to be different from the ID, the process is repeated from the input of the ID (step S313). If OK, an authentication completion notification is made (step S316), and the fingerprint authentication operation ends (step S317).
[0048]
Next, FIG. 7 is a flowchart when the authentication is performed using the fingerprint registered in FIG. 4 and the registered data is re-registered at a high resolution.
[0049]
When the fingerprint re-registration operation is disclosed (step S400), the user inputs an ID here (step S401), as in FIGS. 5 and 6, and the host server responds to the input ID. It is determined whether the ID is the same as a previously registered ID (step S402). If an error occurs in the ID determination, the error 1 display indicates that the ID number is different or the personal information has not been registered (step S402). Thereby, registration of personal information or input of an ID is started again. If the ID is determined to be OK, human body detection is performed (step S404). Here, it is determined whether the object is a human body or not, and if it is unlikely to be a human body, the fact is indicated by displaying error 2 or the human body is detected again (step S415). On the other hand, a step of extracting the registered data registered with the ID number is performed, and the collating unit 204 in FIG. 3 stands by (step S414).
[0050]
After that, if the human body detection is OK, the sensor is driven (step S405), and the exposure is adjusted. As described above, the brightness of the LED and the gain of the image are determined to some extent by default, and the fingerprint is determined in high resolution. An image is obtained (step S407). After that, the image information is transmitted to the host server, and the exposure amount is determined (step S408). At this time, if the image is too dark or too bright with the default setting, the host server feeds it back to the information reading device in real time, and the gain is controlled by the AGC 40 as described above, or the light amount is adjusted by the LED 30, Alternatively, the lighting time of the LED is controlled so that an appropriate image can be obtained. After that, if the exposure amount is not determined, there are causes such as the finger being dirty or the fingerprint of the finger being difficult to read, and an error 3 display such as using another finger is displayed (step S409). The image is acquired again.
[0051]
When the exposure amount is determined to be OK, feature points are extracted from the image (step S410), and at the same time, matching is performed with fingerprint information already registered with the ID number to perform a matching determination (step S411). . If there is an error, the error 4 is displayed (Step S412), and the process is started again from the image acquisition, or since the registered fingerprint is expected to be different from the ID, the process is started again from the input of the ID (Step S413).
[0052]
If the collation determination is OK, an authentication completion notification is performed (step S416), and at the same time, a comparison of the number of feature points is performed on the registered data and the authenticated data (step S417). A determination is made based on the comparison result (step S418). If there is more data acquired for the current authentication than the number of registered feature points, the acquired data is registered as new registration data ( (Step S419), the fingerprint re-registration operation ends (Step S420). Conversely, if the number of already registered data is larger than the number of feature points of the data currently acquired for authentication, nothing is performed here.
[0053]
The host server of the authentication device (system) described in FIG. 1 or the device in which the functions of the information reading device and the host server in FIG. 1 are integrated can be configured by a computer as shown in FIG. The image information on the biological pattern received by the modem 127 serving as the communication unit 230 in FIG. 1 is stored in a memory 122 such as a DRAM, and the CPU 121 executes a program (here, a disk) in which the flowchart described with reference to FIGS. The feature points of the fingerprint image are extracted on the basis of the program stored in the device 24), and the feature point data is stored in a disk device 126 such as an MO or a hard disk or a storage means of the memory 122. Then, it is compared with fingerprint image information registered in advance in a storage unit such as a disk device 126 such as an MO or a hard disk. Reference numeral 124 denotes input means such as a keyboard, and reference numeral 125 denotes a display means (display) for displaying an authentication result such as a CRT or a liquid crystal device. Reference numeral 123 denotes a bus such as a data bus.
[0054]
【The invention's effect】
As described above, according to the present invention, by registering registration data at a high resolution, it is possible to perform high-speed verification at a low resolution or a high resolution at the time of authentication.
[0055]
In performing fingerprint authentication by switching resolutions, it is not necessary to have registration data for each resolution, and it is possible to reduce the cost of the storage medium.
[0056]
After a certain period of time has passed since registration, registration can be performed at the same time as authentication.
[0057]
Further, data having many feature points can be always stored as registration data.
[Brief description of the drawings]
FIG. 1 is a block diagram of an authentication device of the present invention when a fingerprint is assumed as pattern information of a living body.
FIG. 2 is a block diagram showing a configuration of a communication unit 110 of FIG.
FIG. 3 is a block diagram illustrating a configuration of an arithmetic processing unit 200 in FIG. 1;
FIG. 4 is a flowchart showing an operation flow when registering a fingerprint pattern of an individual before using the authentication device of the present invention.
FIG. 5 is a flowchart when fingerprint authentication is actually performed at a high resolution using the fingerprint registered in FIG.
FIG. 6 is a flowchart when fingerprint authentication is performed at a low resolution using the fingerprint registered in FIG.
FIG. 7 is a flow chart when authentication is performed using the fingerprint registered in FIG. 4 and the registration data is re-registered at a high resolution.
FIG. 8 is a diagram illustrating a configuration example of an optical image input apparatus.
FIG. 9 is a block diagram when the authentication device described in FIG. 1 is configured by a computer.
[Explanation of symbols]
10 sensors
20 Human body detection element
30 LED
40 AGC (Auto Gain Controller)
50 DA (digital / analog controller)
60 TG (timing generator)
70 A / D converter (analog / digital converter)
80 memory
90 Control controller
100 Display
110 communication unit
120 registers
200 arithmetic processing unit
210 Control controller
220 Recording device
230 communication unit

Claims (9)

Registration means for registering biological pattern information at a first resolution;
Acquiring means for acquiring biological pattern information at the first resolution or at a second resolution lower than the first resolution;
Changing means for changing the first resolution biometric pattern information registered in the registration means to the second resolution biometric pattern information;
A matching unit that matches the biological pattern information obtained by the obtaining unit with the biological pattern information of the first resolution from the registration unit or the biological pattern information of the second resolution from the changing unit;
According to the resolution of the biometric pattern information obtained by the obtaining means, biometric pattern information of the first resolution from the registration means or biometric pattern information of the second resolution from the changing means is input to the matching means. Switching means for performing
A biometric pattern authentication device having: 2. The biometric pattern authentication device according to claim 1, wherein an authentication algorithm is changed according to the switching of the resolution. 3. The biometric pattern authentication device according to claim 1, wherein the verification unit performs verification at the first resolution, and the biometric pattern information of the first resolution acquired by the acquisition unit is transmitted from the registration unit. 4. The biometric pattern information of the first resolution acquired by the acquisition means is re-registered in the registration means when the amount of information is larger than the biometric pattern information of the first resolution. Authentication device. 2. The biometric pattern recognition device according to claim 1, wherein the biometric pattern information is extracted data obtained by extracting characteristic points from a fingerprint image. 2. The biological pattern recognition device according to claim 1, wherein the biological pattern information is acquired based on an output signal from an image sensor, and the biological pattern information of the first resolution or the second resolution acquired by the acquiring unit. The biological pattern authentication device is characterized in that the switching is performed in the image sensor. 2. The biological pattern recognition device according to claim 1, wherein the biological pattern information is acquired based on an output signal from an image sensor, and the biological pattern information of the first resolution or the second resolution acquired by the acquiring unit. The switching is performed in a memory that stores an output signal from the image sensor. 3. The biometric pattern authentication device according to claim 1, wherein the biometric pattern information of the first resolution acquired by the acquisition unit is reregistered in the registration unit when a predetermined time has elapsed. 4. Biological pattern authentication device. When registering biometric pattern information at a first resolution and obtaining the biometric pattern information at a second resolution lower than the first resolution when obtaining biometric pattern information for the biometric pattern authentication, the registration may be performed. A biometric pattern authentication method for performing biometric pattern authentication by changing the first resolution of the obtained biometric pattern information to the second resolution. A program describing the biometric pattern authentication method according to claim 8.

Images