JP2007156765A - Automatic transaction device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an automatic transaction device keeping biological authentication accuracy at a high level, securing security by performing qualitative improvement of biological information to be read even when image quality of an image of the read biological information is of a low level. <P>SOLUTION: A finger vein reader 102 installed in an ATM 101 reads finger vein information of a finger of a customer, and a CPU 113 decides the image quality of the finger vein image read by the finger vein reader 102. When the image quality is excellent, the ATM 101 issues an IC card 201 registered with a characteristic value extracted from the finger vein image. When the image quality is bad, a display 103 displays a reset guide screen of the finger to the finger vein reader 102. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an automatic transaction apparatus, and more particularly, to an automatic transaction apparatus having a biometric authentication function for performing a transaction after verifying the identity of a customer by reading the biometric information of a customer.

  In a financial transaction performed between a financial institution and a customer, the financial institution starts the transaction after authenticating the customer. For example, in the case of a transaction using an automatic transaction apparatus (ATM), identity verification is performed using a cash card and a personal identification number. In recent years, damages caused by the use of stolen cards and counterfeit cards have increased in transactions at financial institutions, and in particular, improvements in security have been strongly demanded for transactions at ATMs.

As a method for improving the security described above, the customer's fingerprint or finger vein pattern is registered as biometric information on the IC chip of the financial institution's server or the card issued by the financial institution, and the biometric information read at the time of transaction is registered. A biometric authentication system that verifies and authenticates the person by collating with data has begun to be put into practical use.
Cash cards, passbooks, and the like are stable quality media issued by financial institutions based on industrial standards and others, and information written on the media can be read with high reliability. However, the living body has various individual differences for each customer, and the method of setting the living body with respect to the reading device is also a living body, so that it is not possible to uniquely fix front and rear, left and right, and top and bottom. As a result, in a biometric authentication device using biometric information, a customer who cannot obtain sufficient feature quantities from biometric information read at the time of transaction is rejected at the time of biometric information registration or verification. It was. As an improvement measure to reduce acceptance refusal in reading biometric information, in Patent Document 1, the identification rate and the exclusion rate are slightly deteriorated for biometric information with low reading accuracy. By creating and registering dictionary data with a threshold value that gives an error rate of 1, and using this threshold value for reading and verification, usability has been improved.

JP-A-6-208611

  In the apparatus using the biometric authentication technology of Patent Document 1, biometric authentication can be applied even when a sufficient feature value cannot be obtained from the read biometric information (when the reading accuracy is low). However, when the reading accuracy is low, it is inevitable that the biometric authentication accuracy is also low.

  The present invention has been made in view of the above circumstances, and the purpose of the present invention is to improve the method of setting / reading a biological part at the time of registration or verification even for a customer whose biological information is initially considered to be at a low level. The purpose of the present invention is to provide an automatic transaction apparatus that maintains a high level of biometric authentication accuracy and ensures sufficient security by actively improving the quality of biometric information to be read.

  In order to achieve the above object, according to the present invention, an automatic transaction apparatus that performs a transaction using a card determines the image quality of a biometric image read by the biometric information reading unit, and based on the determination result, transfers the biometric information to the biometric information reading unit. A configuration for displaying a re-set guidance screen for the living body part was adopted.

  ADVANTAGE OF THE INVENTION According to this invention, the automatic transaction apparatus which registers higher quality biometric information can be provided. In addition, when collating biometric information (at the time of authentication), it is possible to improve the accuracy of identity verification (identity confirmation) and ensure security.

  First, the basic configuration of the present embodiment will be described with reference to FIGS. In the present embodiment, finger vein information is used as the biological information.

  FIG. 1 is a block diagram of an automatic transaction apparatus (hereinafter referred to as ATM) according to an embodiment of the present invention. The ATM 101 includes a finger vein reader 102 that reads a finger vein image (biological image) of a customer's finger, a liquid crystal display 103 that is a display unit that displays transaction guidance for the customer, and a touch panel that is an input unit that inputs a transaction operation. 104, a card mechanism 105 for processing the inserted cash card, a banknote depositing / withdrawing mechanism 106 for processing banknotes such as banknote depositing / withdrawing, a coin depositing / withdrawing mechanism 107 for processing coins such as coin depositing / withdrawing, The statement slip printing mechanism 108 that performs the printing process, the bankbook printing mechanism 109 that performs the bankbook printing process, and the main control unit 110 that controls the overall operation.

The card mechanism 105 is provided with a magnetic stripe read / write unit 111 that reads / writes from / to the magnetic stripe of the IC card inserted by the customer, and an IC chip read / write unit 112 that reads / writes from / to the IC chip. The main control unit 110 includes a CPU 113 that controls each process, a memory 114 that stores a program for executing each process, transaction information, and the like, a communication unit 115 that transmits and receives data to and from the host and server, and a customer A recording unit 116 and a power source 117 for sequentially recording transaction information and the like are provided. Further, a person camera 118 for photographing a customer's face image is provided at the upper front of the ATM 101, and a hand camera 119 for photographing the customer's hand is provided at the lower front (see FIG. 4).
FIG. 2 is an external view of the IC card 201. On the IC card 201, a magnetic stripe 202 and a contact type IC chip 203 are mounted. It is also possible to mount a non-contact type IC chip 204 on the IC card 201. FIG. 3 shows an example of a service function stored in the IC chip 203, in which account information such as a cash card and a credit card supported by the issuing financial institution and features of a customer's finger vein image are extracted. Finger vein information (biological information) is registered as dictionary data.

  FIG. 4 is an external view of the ATM 101 and a financial institution system configuration diagram including the ATM 101. A person camera 118 for photographing a customer's face image is provided in the upper front portion of the ATM 101, and a hand camera 119 for photographing the customer's hand is provided in the lower front portion of the ATM 101. A finger vein reader 102 is provided on the customer operation surface of the ATM 101 (although it is provided at the right end in FIG. 4, a place other than the right end may be used). The ATM 101 is connected to the host computer 207 via a network. The host computer 207 includes a database 206.

  FIG. 5 shows an example of the account ledger data format of the customer 205 stored in the database 206 of the host computer 207 of the financial institution. FIG. 6 is an external view in which the front side of the ATM 101 is enlarged. The hand camera 119 has a view range of the deposit / withdrawal port of the display 103, the touch panel 104, the finger vein reader 102, the banknote deposit / withdrawal mechanism 106, and the coin deposit / withdrawal mechanism 107. You can shoot hand movements.

  Details of specific processing using the above configuration will be described below.

  In order to start a transaction based on biometric authentication, the customer 205 applies for registration of biometric information to a financial institution. There are two ways of registering biometric information: registering biometric information of the customer 205 on a financial institution server, and registering biometric information on another medium such as the IC card 201 carried by the customer 205. . Below, the case where biometric information is registered into IC card 201 which is a medium which a customer carries is explained. In the financial institution, the IC card after writing the service function that the customer 205 applied to the financial institution into the IC chip 203 is written in the magnetic stripe 202 and the IC chip 203, and also in the IC chip 203. 201 is issued and mailed to the customer 205. The customer 205 brings the received IC card 201 and goes to the ATM 101 of the nearest financial institution. There are two ways of registering biometric information at financial institutions. One method is that the biometric information registration device reads the finger vein image of the customer 205 based on the operation and guidance of the clerk, extracts the characteristics of the finger vein image, creates dictionary data, and the customer 205 brings it. This is a method of registering in the biometric information area of the IC chip 203 of the IC card 201. In another method, the customer 205 himself operates the ATM 101, the finger vein reader 102 mounted on the ATM 101 reads the finger vein image of the customer, extracts the characteristics of the finger vein image, creates dictionary data, and 205 is a method of registering in the biometric information area of the IC chip 203 of the IC card 201 brought by 205.

  FIG. 7 shows a processing flow when the customer 205 himself / herself registers biometric information using the ATM 101.

  First, when the customer 205 inserts the IC card 201 into the card mechanism 105 of the ATM 101 (step 301), the magnetic stripe read / write unit 111 reads account information recorded in the magnetic stripe 202, and the IC chip read / write unit 112 reads the IC chip read / write unit 112. The account information recorded on the chip 203 is read. At the timing when it is detected that the IC card 201 is inserted into the card mechanism 105, the person camera 118 takes a face image of the customer 205 (step 302). Next, in order to confirm that the customer 205 who brought the IC card 201 is the person himself / herself, a password input screen (FIG. 8) is displayed on the display 103 to guide the customer to input the password. Perform (step 303). The ATM 101 transmits the entered personal identification number to the office center host computer 207, and the host computer 207 confirms whether it matches the personal identification number registered in advance (step 304). The ATM 101 receives the confirmation result from the host computer 207 (step 305), and if the passwords do not match, the display 103 displays “cannot be handled” (step 306), and the IC card 201 is removed. Return to the customer 205 (step 307).

  If the confirmation result received in step 305 is “PIN match”, the ATM 101 authenticates the customer 205 and the display 103 displays a selection screen (FIG. 9) for selecting a finger to be registered. The customer is guided to select a finger to be registered (step 308). Next, the display 103 displays a guidance screen (FIG. 10) to set the selected finger on the finger vein reader 102 (step 309). Along with the screen display, guidance to that effect may be given. When the finger of the customer 205 is set in the finger vein reader 102 according to the guidance screen, the finger vein reader 102 reads the vein image of the set finger (step 310). At the timing when it is detected that the finger is held over the finger vein reader 102, the hand camera 119 takes a finger set image of the customer 205 (step 311). The face image of the customer 205 photographed by the person camera 118, the finger set image photographed by the hand camera 119, and the finger vein image read by the finger vein reader 102 are transmitted to the main control unit 110 as customer transaction records, and the recording unit 116 is obtained. (Step 312). FIG. 11 shows an example of a finger vein image read by the finger vein reader 102 in step 310.

  Based on the finger vein image read in step 310, the CPU 113 quantitatively evaluates the finger vein image using evaluation items such as sharpness / blurring / missing, contrast, blood vessel thickness / continuity over the entire image. A qualitative evaluation is performed, and the result is divided into four stages (step 313). Here, [excellent (◎), good (◯), semi-possible (Δ), impossible (×)] in order of good qualitative evaluation results. As a judgment criterion for qualitative evaluation of each evaluation item, for example, regarding the sharpness / blurring of an image, if 85% or more of the entire area is clear (or not blurred), it is excellent (◎), 65-85. % Is acceptable (◯), 40 to 65% is semi-possible (Δ), and less than 40% is unacceptable (x). In addition, with respect to the lack of an image, for example, if the missing portion of the image is less than 10%, it is excellent, if it is 10-30%, good if it is 30-50%, semi-possible if it is 50% or more, and impossible if it is 50% or more. . Regarding the thickness of the blood vessel, for example, if the difference in the thickness of the blood vessel to be compared is less than 15%, it is excellent if it is 15-40%, good if it is 40-60%, semi-possible, 60% or more. If it is not possible. Regarding vascular continuity, for example, when focusing on a certain blood vessel, it is excellent if the continuity of the blood vessel is 80% or more, good if it is 60-80%, semi-possible if it is 45-60%, 45% If it is less than, it is impossible. And as for the final qualitative evaluation (total evaluation of image quality), for example, (1) the average of these evaluation items, (2) top evaluation, (3) most evaluation, etc. It may be determined by any method.

  The CPU 113 determines whether the qualitative evaluation result in step 313 is [semi-good (Δ), impossible (×)] or [excellent (◎), good (◯)] (step 314), If yes (△), impossible (×)], the process proceeds to the finger set improvement processing flow (details are shown in FIG. 13). If the qualitative evaluation result in step 313 is [excellent (◎), good (◯)], the CPU 113 extracts feature values from the read finger vein image (step 315), and dictionary data is extracted using the extracted feature values. It is created and temporarily registered in the IC chip 203 (step 316). In order to confirm whether the temporarily registered dictionary data can be used normally, the display 103 displays a guidance screen (FIG. 12) for guiding the registered finger to be set again on the finger vein reader 102 (step 317). . At this time, guidance may also be given by voice. The finger vein reader 102 reads the finger vein image of the finger set in step 317 and extracts a feature value, and the CPU 113 collates with the customer dictionary data registered in the IC chip 203 (step 318). The CPU 113 confirms the collation result in step 318 (step 319). If the collation cannot be performed (collation NG), the CPU 113 returns to step 309 to redo the registration process. If the collation is successful (verification is OK), the CPU 113 officially registers the dictionary data created in step 316 in the IC chip 203 (step 320), and the ATM 101 issues the IC card 201 with biometric information registered (step 320). Step 321). Specifically, the card mechanism 105 ejects the IC card 201 in which biometric information is registered.

  FIG. 13 shows a finger set improvement processing flow when the qualitative evaluation result of the finger vein image in step 313 of FIG. 7 is [semi-possible (Δ), impossible (×)] (step 314). First, FIG. 14 shows an appearance image of the finger of the customer 205 set on the finger vein reader 102 taken by the hand camera 119 (step 311 in FIG. 7). The CPU 113 cuts out the nail portion of the finger set on the finger vein reader 102 from this image, and confirms the positional relationship with the outer shape of the finger (step 401). When the nail part is not located at the center of the finger (step 402 No: case 1), the display 103 displays a finger set improvement instruction screen as shown in FIG. Guidance display is performed (step 403): “Since the finger set on the finger vein reader is slightly rotated, set the finger again so that the nail is straight up”. In addition, in the confirmation in step 401, when the finger comes out from the set position of the finger vein reader 102 or falls back (step 402 No: case 2), the display 103 moves the fingertip. Guidance is displayed so as to be set at a predetermined position in front of the display lamp (shown in FIG. 14) (step 404). After any guidance display in step 403 or 404 is displayed, the process returns to step 310 in FIG. 7 and the finger vein reader 102 reads again the finger vein image reset according to the guidance.

  If it is determined in step 402 that the finger is set at a predetermined position of the finger vein reader 102 (step 402 Yes), the evaluation is performed for each evaluation item when the finger vein image is qualitatively evaluated in step 313 in FIG. In addition, the CPU 113 determines what may be considered as the cause of the poor image quality of the finger vein image (step 405), and the display 103 displays a countermeasure for each cause as guidance to the customer.

  (1) When the edge of the finger image is missing and the positional deviation or inclination from the reading center of the sensor of the finger vein reader 102 is larger than the predetermined range (step 406), the display 103 displays the finger set shown in FIG. The improvement instruction screen is displayed and guidance is given to correct the finger setting position and direction (step 407). For example, a screen for guiding the customer 205's finger to be set at the center of the sensor of the finger vein reader 102 is displayed. This case corresponds to a case where the “image missing” portion of the evaluation items is large or a case where “blood vessel continuity” is low compared to the registered image. After the customer 205 resets the finger in accordance with the guidance in FIG. 16, the ATM 101 performs step 310 (reading the finger vein image of the set finger) in FIG. 7 and performs the subsequent processing.

  (2) If there is a large amount of external light that goes around (enters) around the set finger, the left and right edges of the finger vein image are white, and a finger vein image can be obtained only at the center (step 408), the display 103 17 displays the finger set improvement instruction screen shown in FIG. 17, and covers the upper part of the finger held over the finger vein reader 102 with the other palm to provide guidance for shielding the external light (step 409). This case corresponds to a case where the “image missing” or “image blur” portion of the evaluation items is greater than or equal to a predetermined area. After the customer 205 resets the finger according to the guidance of FIG. 17, the ATM 101 performs step 310 of FIG. 7 (reading the finger vein image of the set finger) and performs the subsequent processing.

  (3) When the blood vessel image of the finger vein is thin, the overall image is unclear and the contrast is low (step 410), the display 103 displays the finger set improvement instruction screen shown in FIG. Guidance is given by grasping the wrist to lightly stop the blood and thicken the veins of the finger (step 411). This case corresponds to the case where “image clarity” is low among the evaluation items, the degree of “image contrast” is low, or the “blood vessel thickness” of the comparison part is narrower than the predetermined width. To do. After the customer 205 resets the finger according to the guidance in FIG. 18, the ATM 101 performs step 310 (reading the finger vein image of the set finger) in FIG. 7 and performs the subsequent processing.

  (4) If the base side of the finger vein image is unclear and the contrast is low because the base side of the finger is lifted (step 412), the display 103 displays the finger set improvement instruction screen shown in FIG. Then, with the other hand, the upper part of the held finger is lightly pressed to guide the finger vein reader 102 to contact the base of the finger (step 413). In this case, when the “image sharpness” (particularly the sharpness of the base of the finger) is low among the evaluation items, the “image contrast” (particularly the contrast of the base of the finger) is low, and the “ This is the case when the “thickness of the blood vessel” is narrower than a predetermined width. After the customer 205 resets the finger in accordance with the guidance of FIG. 19, the ATM 101 performs step 310 (reading the finger vein image of the set finger) of FIG. 7 and performs the subsequent processing.

  When the process returns to step 310 in FIG. 7 after the processes (1) to (4) and the finger vein image is read again, the finger image (appearance image) captured by the hand camera 119 or the finger vein reader 102 is taken. The finger vein image read by the user may be continuously displayed on the display unit 103 to help the customer 205 learn an improvement method for reading a good image. In the flowchart of FIG. 13, the finger setting position is checked from the appearance image captured by the hand camera 119. However, if the hand camera 119 is not installed, steps 401 and 402 may be skipped and processed. In this case, in the case of [Semi-Permitted or Impossible] in Step 314, the processing of Step 405 (determining what is considered as a cause of poor image quality of the finger vein image based on the evaluation result of the evaluation item) is performed.

  Here, in the display of the finger resetting guidance screen (FIGS. 15 to 19), the display 103 displays the image taken by the hand camera 119 and the finger vein image read by the finger vein reader 102, and resets. The customer 205 may be configured to show more detailed guidance regarding guidance (guidance display regarding finger resetting “how to reset the finger compared to the previous time”).

  If the result of step 314 is “semi-possible” or “impossible” even after guiding the customer 205 to reset the finger multiple times (for example, three times or more), the ATM 101 performs the clerk call processing. And the staff may perform operation to support registration of finger vein information.

  In the above embodiment, the process of registering the finger vein information of the customer in the IC chip of the IC card has been described. However, when the customer makes a transaction using the ATM, the ATM uses the finger vein information to identify the customer. Even when the ATM performs the finger vein information collation and executes the transaction processing, the processing similar to the above can be performed on the finger vein information (finger vein image). In other words, the outline of the processing in this case is as follows: (1) Transaction selection → (2) Card insertion → (3) Input of PIN (optional but not essential) → (4) Set registered finger → (5) Finger vein information This is a processing procedure of reading → (6) qualitative evaluation of image quality of finger vein information. Here, when the evaluation result in (6) is [excellent or good], (7) the feature value is extracted from the finger vein information (read in (5)), and the finger vein registered in advance in the IC chip In the case of authenticating the user by comparing with the information → (8) Authentication OK, the transaction procedure selected in (1) is executed.

  On the other hand, if the evaluation result in (6) is [semi-possible or impossible], the ATM 101 provides guidance for resetting the finger as in the flowchart shown in FIG. Here, in this customer's finger vein information registration process (finger vein information registration process to IC card: FIG. 7), the image quality of this customer's finger vein information (finger vein image) read by the finger vein reader is [ If it has become “Semi-Permitted or Impossible”, the IC chip 203 indicates which guidance has been performed among the subsequent finger resetting guidance (steps 406, 408, 410, 412 in FIG. 13). In this case, the customer can become a material for grasping the habit (setting tendency of the finger setting) of how to set when the customer sets a finger on the finger vein reader 102. Then, along with the evaluation result of the image quality of the finger vein image of the customer read this time, the finger resetting guidance (and rereading of the finger vein information) is made using the habit (trend) of the finger setting method at the time of registration. ) Increases the image quality of the finger vein image and increases the possibility that the finger vein information matching process (person authentication process) in (7) will be successful.

  As described above, in the present embodiment, the processing in the finger vein authentication device implemented in the ATM has been described in detail with reference to the drawings. However, the biological information is not limited to the finger vein, but the palm vein, fingerprint, iris, face image Other biological information such as The biometric information is registered using the IC chip 203 mounted on the IC card 201. However, finger information is registered in a portable terminal, for example, a cellular phone, and the IC card read / write unit 112 of the ATM 101 is contact-type. If not only a non-contact type can be supported, the same processing can be performed by wirelessly reading finger information registered in the mobile phone. The same applies when biometric information is registered in a financial institution server. Furthermore, in this embodiment, the instruction from the ATM to the customer has been described using the ATM display 103 and voice guidance, but a liquid crystal display unit is mounted on the biometric information registration / registration device or the biometric information authentication device itself, It can also be configured to instruct the customer. Therefore, the present invention is not limited to ATM, but can be applied to general automatic machines including a biometric information registration / registration device and a biometric information authentication device. In this case, the automatic machine can perform the same processing not only on the biological information of the customer who uses the automatic machine but also on the biological information of the operator (user) who operates the automatic machine.

  According to the present embodiment, when the read biometric information is at a low level (when the image quality is poor), the cause of the poor image quality is determined, and the method for resetting the living body part is guided to obtain a good image quality. A method for setting and reading a living body can be guided. Further, the customer can know a method for resetting the living body part so that the image quality is improved when the image quality is poor. When the image quality is improved, an automatic transaction apparatus with sufficient security can be provided by registering and collating biometric information.

  In addition, when customers register biometric information, they will deepen their understanding of biometric information reading and image quality improvement, and in subsequent transactions, the quality of the read will be improved each time verification is performed. It is possible to increase the reliability of the device (including the biometric authentication device and the device having the biometric authentication function) and to ensure stable operation of the device.

An example of the block diagram of ATM101 in this embodiment is shown. 1 is an external view of an IC card 201 on which an IC chip 203 is mounted. It is an example of a service function built in the IC chip 203. 1 is a configuration diagram of a financial system including an ATM 101. FIG. 3 is an example of a data format diagram of an account ledger stored in a database 206 connected to a host computer 207. FIG. It is a front and external view of ATM101. The flowchart of the registration process of biometric information is shown. It is an example of a password input screen displayed on the display 103. It is an example of a selection screen of a finger to be displayed displayed on the display 103. It is an example of a finger set guidance screen to be displayed displayed on the display 103. It is an example of the finger vein image which the finger vein reader 102 read. It is an example of an operation confirmation guidance screen of registration data displayed on the display 103. The biological body part set improvement process flowchart in the re-reading of biometric information is shown. It is an example of the external appearance image of the finger which the hand camera 119 read. It is an example of the improvement instruction | indication screen of the biological body part set displayed on the display. It is an example of the improvement instruction | indication screen of the biological body part set displayed on the display. It is an example of the improvement instruction | indication screen of the biological body part set displayed on the display. It is an example of the improvement instruction | indication screen of the biological body part set displayed on the display. It is an example of the improvement instruction | indication screen of the biological body part set displayed on the display.

Explanation of symbols

101: ATM, 102: finger vein reader, 103: display, 104: touch panel, 105: card mechanism, 110: main control unit, 111: magnetic stripe read / write unit, 112: IC card read / write unit, 113: CPU, 114 : Memory, 116: Recording unit, 118: Human camera, 118: Hand camera, 201: IC card, 202: Magnetic stripe, 203: IC chip

Claims (9)

In an automatic transaction device that uses a card for transactions,
A biometric information reading unit that reads biometric information of a biometric part of a customer corresponding to the card;
A display unit for displaying contents according to the transaction;
A control unit for controlling each unit,
The control unit determines the image quality of the biometric image read by the biometric information reading unit, and based on the determination result, displays a reconfiguration guidance screen for the biological part to the biometric information reading unit on the display unit An automatic transaction apparatus characterized by When the living body part is reset in the living body information reading unit, the living body information reading unit performs rereading of the living body information of the living body part,
The automatic transaction apparatus according to claim 1, wherein the control unit performs control for determining an image quality of the re-read biological image and issuing an IC card storing biological information for the biological part. The controller is
When the image quality of the biometric image read by the biometric information reading unit is lower than a predetermined reference, the biometric information reading unit is controlled to display a reset guide screen of the biometric part on the biometric information reading unit,
3. The automatic transaction apparatus according to claim 2, wherein when the image quality of the biometric image read by the biometric information reading unit is higher than a predetermined reference, an IC card storing biometric information for the biometric part is issued.   The automatic transaction apparatus according to claim 1, wherein the display unit displays a plurality of types of guidance screens related to resetting of a biological part to the biological information reading unit.   The control unit determines the image quality of the biological image read by the biological information reading unit, and the biological information reading unit displayed on the display unit from the plurality of types of guidance screens according to the determination result The automatic transaction apparatus according to claim 4, wherein a re-set guidance screen for a living body part is determined. The automatic transaction apparatus further includes:
An imaging unit that images the appearance of a biological part set in the biological information reading unit;
The control unit determines a set state of a biological part set in the biological information reading unit based on an image captured by the imaging unit,
The automatic transaction apparatus according to claim 1, wherein the display unit displays a guidance screen related to resetting of a biological part to the biological information reading unit according to the determined result.   The automatic transaction apparatus according to claim 7, wherein the display unit displays an image taken by the photographing unit or a biological image read by the biological information reading unit. In a biometric information registration device for registering user biometric information,
A biometric information reading unit that reads biometric information of the user's biological site;
A display unit for displaying contents according to the registration operation;
A control unit for controlling each unit,
The control unit determines the image quality of the biological image read by the biological information reading unit,
The biometric information registration apparatus, wherein the display unit displays a reorganization guide screen for a biometric part on the biometric information reading unit based on the determination result. The biometric information registration device includes a card mechanism that handles an IC card corresponding to the user,
When the living body part is reset in the living body information reading unit, the living body information reading unit performs rereading of the living body information of the living body part,
The control unit determines the image quality of the re-read biological image,
The biometric information registration apparatus according to claim 8, wherein the card mechanism issues an IC card storing biometric information for the living body part.

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