JP2007172022A - Biological information collating device, image formation apparatus and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a biological information collating device for precisely performing biological information registration or biological information collating by making a user input biological information of satisfactory quality. <P>SOLUTION: In the registration of the feature quantities of biological information, a first threshold to be set in a boundary between a registration allowable region and a registration unallowable region and a second threshold to be set in the registration allowable region are stored, and the feature quantities of the biological information are evaluated by referring to those thresholds, and the evaluation result is compared with the first threshold and the second threshold as an evaluation threshold and displayed. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a biometric information collation apparatus, an image forming apparatus, and a program.

  In recent years, with the rapid progress of computerization of information and networking, interest in security technology for controlling access to information has increased. As one of such security technologies, personal verification such as fingerprint verification is performed. Various products have been introduced to do this.

  In fingerprint verification, a fingerprint is input by optical reading with a fingerprint sensor, and the input grayscale image data is analyzed to determine whether or not the input fingerprint matches a pre-registered fingerprint. Match. Conventionally, as a fingerprint matching method, a feature point extraction / matching method in which attributes of feature points such as end points and branching points of ridges (ridges) of fingerprints and their relative positional relationships are compared as feature information ( Known as the minutiae method), the pattern matching method that directly compares and matches the binarized input fingerprint image data with the registered fingerprint image data, or the frequency analysis method that performs matching based on the period of the crest and trough of the fingerprint. It has been.

  However, even a fingerprint of the same finger as the registered fingerprint may be determined to be inconsistent depending on the input state. For example, the center position, pressure, angle, blur, and contrast of the fingerprint detected by the fingerprint sensor are affected by the position, tilt, strength, etc. when the finger is placed on the fingerprint sensor, and the fingerprint is recognized as a separate fingerprint from the registered fingerprint. End up. If it is determined that there is a mismatch, the user must input the fingerprint again. However, if the user does not specifically understand why the mismatch is determined, the user repeatedly repeats trial and error until it is determined that they match. Fingerprint input is performed, which takes time and effort and deteriorates operability.

  In addition, when the quality of the registered fingerprint image data is poor, it is determined that the fingerprint image data input at the time of collation is inconsistent even if the quality of the fingerprint image data is good.

  For this reason, Patent Document 1 discloses that guidance information (for example, “It seems that the fingerprint is small. Yes, put your finger a little stronger or re-register with a thicker finger. ”) Is displayed to the user.

In Patent Document 2, the value of the input permissible state range, the value of the input permissible state approximate range, and the values of the other ranges are stored in advance for each value of the finger center position, angle, and pressure specified from the fingerprint image. The finger center position, angle, and pressure values are detected from the fingerprint image input at the time of fingerprint registration or fingerprint collation. For example, green light is input if it is included in the input allowable state range. It is described that yellow light is projected on the nail if it is included in the state approximate range, and red light is projected on the nail in the other range. Thus, for example, if the user is irradiated with yellow light while adjusting the finger position, angle, and pressure on the sensor after the red light is irradiated, the user is adjusting in the correct direction and remains as it is. If it is adjusted in this direction, it can be recognized that each value of the finger center position, angle, and pressure falls within the input allowable state range, and the finger position, angle, and pressure on the sensor can be easily adjusted.
JP 2003-296717 A JP 2003-30630 A

  In the method described in Japanese Patent Laid-Open No. 2004-260260, guidance is displayed on how to place a finger when collation cannot be performed at the time of fingerprint collation. However, there is no problem if collation can be performed at the time of fingerprint collation. I will not.

  In the method described in Patent Document 2, when the finger placement is unacceptable at the time of fingerprint registration and fingerprint collation, it suggests how far away from the permissible state, but there is no problem in the permissible state. So no suggestion is made.

  However, even if the finger placement is in an acceptable state or when collation can be performed during fingerprint matching, the finger placement is not always optimal, and it is more suitable for fingerprint matching if the finger placement is optimized. There is room for input, and fingerprint registration or fingerprint verification can be performed with higher accuracy.

  The present invention has been made in view of the above problems, and allows biometric information registration or biometric information matching to be performed with high accuracy by allowing a user to input high-quality biometric information. An object is to provide an apparatus, an image forming apparatus, and a program.

  The biometric information collation apparatus of the present invention includes a biometric information input unit that inputs biometric information data, a feature amount calculation unit that calculates a feature amount from biometric information data input by the biometric information input unit, and the feature amount calculation unit The biometric information is collated based on the feature amount storage unit that stores the feature amount calculated by the feature amount, the feature amount calculated by the feature amount calculation unit, and the feature amount stored in advance in the feature amount storage unit A biometric information matching unit; a feature quantity registration unit that registers the feature quantity calculated by the feature quantity calculation unit in the feature quantity storage unit; and a feature quantity calculated by the feature quantity calculation unit is related to biometric information registration propriety. Means for evaluating according to at least one evaluation item, wherein a first threshold value is set at a boundary between a registration allowable area and a registration rejection allowable area and at least the registration allowable area is set. Characteristic amount evaluation means for evaluating the characteristic amount according to the evaluation item with reference to two second threshold values, and the evaluation result of the characteristic amount according to the evaluation item as the evaluation threshold value, the first threshold value and the at least one And a display unit that displays the second threshold value in comparison with the second threshold value.

  An image forming apparatus according to the present invention includes the above-described biometric information matching device, a matching-necessary function storage unit that stores functions required for biometric information matching, and a function selection unit that selects various functions. When the function selected by the function selection unit is a function that requires biometric information collation stored in the collation-necessary function storage unit, collation by the biometric information collation device is performed.

  The program of the present invention includes a feature amount calculation step for calculating a feature amount from input biometric information data, a feature amount registration step for registering the feature amount calculated by the feature amount calculation step in a feature amount storage unit, A step of evaluating the feature amount calculated in the feature amount calculation step according to at least one evaluation item related to biometric information registration propriety, wherein the first threshold value is set at a boundary between the registration allowable region and the registration rejection allowable region; A feature amount evaluation step for evaluating the feature amount in accordance with the evaluation item with reference to at least one second threshold value set in the registration allowable region, and an evaluation result of the feature amount in accordance with the evaluation item, an evaluation threshold value And causing the computer to execute a display step of comparing and displaying the first threshold value and the at least one second threshold value. To have.

  According to the present invention, even if the input state of the biological information is in the allowable state, the good level in the allowable state is displayed, so that the user can recognize the good level and optimize the input state of the biological information. Can be. As a result, high-quality biometric information is input, and biometric information registration or biometric information matching can be performed with high accuracy.

As the best mode for carrying out the invention, an example in which the present invention is applied to an image forming apparatus will be described. However, this is an example and the present invention is not limited thereto. As an image forming apparatus, an MFP (Multi Function Peripherals) having a scanner function, a printer function, a FAX function, and the like is assumed.
(Device configuration)
FIG. 1 is a block diagram illustrating a device configuration of the MFP 100 according to the present embodiment. Centered on the CPU 1 that executes control of the MFP 100 according to the program, the bus 3, the ROM 3, the RAM 4, the document reading unit 5, the image forming unit 6, the hard disk 7, the operation unit 8, the display unit 9, the fingerprint input unit 10, and the interface 11 Are connected to each other.

  The ROM 3 stores programs and data necessary for the CPU 1 to execute control. The ROM 3 stores threshold values (first threshold value and second threshold value) described later and functions that require fingerprint verification, and functions as a threshold value storage unit and a verification required function storage unit, respectively.

  The RAM 4 temporarily stores programs and data necessary when the CPU 1 executes control.

  The document reading unit 5 reads the document and generates image data. The generated image data is output to the image forming unit 6, the hard disk 7, or the interface 11.

  The image forming unit 6 forms an image on a recording medium based on image data and document data input from the document reading unit 5, the hard disk 7, or the interface 11.

  The hard disk 7 stores and stores image data and document data input via the document reading unit 5 and the interface 11. In addition, a feature amount and similarity display availability information of fingerprint data described later are stored in association with the user ID, and function as a feature amount storage unit and a similarity display availability information storage unit, respectively.

  The operation unit 8 is operated by a user, and inputs a user ID, selection of various modes, an image formation instruction, a hard disk storage instruction, an external data transmission instruction, and the like. Further, whether to register a feature amount, a fingerprint input practice mode selection, and a function selection, which will be described later, are input, and function as a feature amount registration availability input unit, a fingerprint input practice mode selection unit, and a function selection unit, respectively.

  The display unit 9 displays various information transmitted to the user. A message prompting the user for various inputs and data related to the feature amount of the fingerprint are displayed.

  The fingerprint input unit 10 reads a user's fingerprint and generates fingerprint data. A feature value is calculated from the generated fingerprint data. When a predetermined condition is satisfied, the feature value is stored in the hard disk 7.

The interface 11 is connected to a communication line, receives data from an external device, and transmits data to the external device. The received data is output to the image forming unit 6 and the hard disk 7, and data read by the document reading unit 5 and data stored in the hard disk 7 are transmitted.
(Device control)
The following control is performed by the CPU 1 executing a process based on a program stored in the ROM 3.
<Fingerprint registration control>
FIG. 2 is a flowchart of fingerprint registration control according to the present embodiment. It is assumed that the fingerprint registration mode is selected by the operation unit 8.

  First, the CPU 1 displays “Please input user ID” on the display unit 9 (step S10). In accordance with this instruction, the user inputs a user ID from the operation unit 8.

  Next, the user ID input by the user from the operation unit 8 is input to the CPU 1 (step S11).

  Next, the CPU 1 displays “Please input fingerprint” on the display unit 9 (step S12). In accordance with this instruction, the user places a finger on the fingerprint input unit 10.

  Next, the CPU 1 reads the user's fingerprint placed on the fingerprint input unit 10 and inputs fingerprint data (step S13).

  Next, the CPU 1 analyzes the fingerprint data input from the fingerprint input unit 10 and calculates, for example, feature quantities such as an image area, a sharpness, the number of feature points, and an angle (step S14). The sharpness indicates the degree of blurring or crushing of the input image. The feature points are end points, branch points, and curvatures of fingerprint data. The angle is the tilt of the finger when inputting a fingerprint.

  Next, the CPU 1 reads the first threshold value and the second threshold value from the ROM 3 into the RAM 4 (step S15). The first threshold value is a threshold value of the feature value set at the boundary between the registration permission area and the registration permission permission area for determining whether or not the feature value calculated in step S14 is registered in the hard disk 7. The threshold value is a threshold value of a feature amount set in the registration allowable area.

  Next, the CPU 1 displays the relationship between the feature amount calculated in step S14 and the first threshold value and the second threshold value read in step S15 on the display unit 9 (step S16). The display form will be described later.

  Next, the CPU 1 compares the feature amount calculated in step S14 with the first threshold value read in step S15, and determines whether or not the feature amount calculated in step S14 can be registered in the hard disk 7 (step S17). In this embodiment, it is determined that registration is possible (registration is appropriate) if all the items of the calculated image area, the number of feature points, and the feature quantity of sharpness are higher than the first threshold value set for each item. The

  If it is determined that registration is possible (step S18; Yes), the process proceeds to step S19. If it is determined that registration is not possible (registration inappropriate) (step S18; No), the process proceeds to step S22.

  In step S <b> 19, the CPU 1 causes the display unit 9 to display “Please input whether to register or not to register”. In accordance with this instruction, the user inputs “register” or “not register” from the operation unit 8 (step S20).

  In this way, even when it is determined that registration is possible in step S18, by letting the user confirm the intention of registration, for example, when the user wants to try again and perform better registration, it corresponds. can do.

  If it is determined that “register” is input (step S20; Yes), the CPU 1 stores the user ID and the feature amount calculated in step S14 in association with each other in the hard disk 7 (step S21), and ends the flow. If it is determined that “not registered” has been input (step S20; No), the process proceeds to step S22.

  In step S <b> 22, the CPU 1 causes the display unit 9 to display “Do you want to re-enter the fingerprint or end it?”. In accordance with this instruction, the user inputs “re-input” or “end” from the operation unit 8 (step S23).

  If it is determined that “input again” is input (step S23; Yes), the process returns to step S12, and the CPU 1 displays “Please input fingerprint” on the display unit 9, and the steps after step S13 are repeated. It is. If it is determined that “end” is input (step S23; No), the flow is ended.

  FIG. 3A and FIG. 3B are examples of display forms at the time of fingerprint registration according to the present embodiment. The feature amounts of the size of the image area, the number of feature points, and the quality of the sharpness are displayed in a bar graph so that they can be easily recognized visually. Image area: large, number of feature points: many, sharpness: the better, the higher the level, which is desirable for fingerprint registration. The appropriate minimum level is shown in the bar graph indicating each feature amount, and this appropriate minimum level corresponds to the first threshold value. If all the feature quantities are higher than the appropriate minimum level in the figure (image area: large, number of feature points: many, definition: good), each feature quantity can be registered in the hard disk 7. Become.

  FIG. 3A shows a display example in the registration failure state. Although the image area is higher than the appropriate minimum level, the number of feature points and the sharpness are lower than the appropriate minimum level. This is a state where, for example, a wet finger is pressed against the fingerprint sensor, the image is crushed, and the fingerprint ridge cannot be identified. As a guidance for the user, “is your hand wet?” Is displayed.

  FIG. 3B is a display example in the registration enabled state. The image area, the number of feature points, and the sharpness are all higher than the appropriate minimum level. As a guidance for the user, “Registration is possible” is displayed.

  If at least one threshold value (corresponding to the second threshold value) is set on the higher level side than the appropriate minimum level, two or more levels can be displayed on the higher level side than the appropriate minimum level. A good level can be recognized. In the present display example in FIG. 3, three threshold values are provided on the higher level side than the appropriate minimum level, and four levels are displayed on the higher level side than the appropriate minimum level. Of course, it may be a multi-stage substantially continuous level display.

  If the user can recognize a good level within the registrable level, the user can change the finger placement or the finger to be registered while viewing the display shown in FIG. Information on the registered finger can be acquired. Then, when the user performs fingerprint input with an optimal finger placement and optimal registration finger, it is possible to perform high-quality fingerprint input, and to perform fingerprint registration with high accuracy.

In this display example, display is performed using a bar graph. However, the display form is not limited to this, and at least the feature amount calculated in step S14 corresponds to the first threshold value and the second threshold value read in step S15. It is sufficient that the user can recognize whether the value is large or small. Therefore, it is sufficient to simply display both feature amounts without processing.
<Fingerprint verification control>
FIG. 4 is a flowchart of fingerprint collation control according to the present embodiment. In this fingerprint collation control, the feature amount of the fingerprint data input by the user is collated with the pre-registered feature amount, and as a result of the collation, the user is recognized as a registered user and authenticated as the user. First, when the user selects a function of the MFP 100 from the operation unit 8, function selection information is input to the CPU 1 (step S30).

  Next, the CPU 1 determines whether or not the input function is a function requiring fingerprint collation stored in the ROM 3 (step S31). The function requiring fingerprint collation is a function for accessing image data, document data, personal information, etc. stored in the hard disk 7, for example.

  If it is determined that the input function is a function that requires fingerprint collation, the CPU 1 displays “Please input user ID” on the display unit 9 (step S32). In accordance with this instruction, the user inputs a user ID from the operation unit 8. If it is determined that the input function is not a function that requires fingerprint verification, the process proceeds to step S47, and the CPU 1 executes the selected function.

  Next, the user ID input by the user from the operation unit 8 is input to the CPU 1 (step S33).

  Next, the CPU 1 displays “Please input fingerprint” on the display unit 9 (step S34). In accordance with this instruction, the user places a finger on the fingerprint input unit 10.

  Next, the CPU 1 reads the user's fingerprint placed on the fingerprint input unit 10 and inputs fingerprint data (step S35).

  Next, the CPU 1 analyzes the fingerprint data input from the fingerprint input unit 10 and calculates, for example, feature amounts such as an image area, a sharpness, the number of feature points, and an angle (step S36).

  Next, the CPU 1 reads the first threshold value and the second threshold value from the ROM 3 into the RAM 4 (step S37). The first threshold value is a threshold value of the feature amount set at the boundary between the collation execution possible region and the collation execution failure region for determining whether or not the feature amount collation execution can be performed, which is calculated in step S36. This is the same as the first threshold value set at the boundary between the registration allowable area and the registration rejection allowable area. The second threshold value is a threshold value of the feature amount set in the collation executable area, and is the same as the second threshold value set in the registration allowable area in the fingerprint registration control.

  Next, the CPU 1 displays on the display unit 9 the relationship between the feature amount calculated in step S36 and the first threshold value and the second threshold value read in step S37 (step S38).

  Next, the CPU 1 compares the feature amount calculated in step S36 with the first threshold value read in step S37, and determines whether or not the feature amount calculated in step S36 can be collated (step S39). In the present embodiment, it is determined that the collation can be performed if all of the calculated image area, the number of feature points, and the feature value of the sharpness are higher than the first threshold value set for each item.

  In this way, by determining whether or not collation can be performed, for example, there is no possibility that collation is performed with insufficient finger placement and collation failure occurs, and finger placement is sufficient. It is only possible to perform verification. As a result, the accuracy of matching can be improved.

  If it is determined that collation can be performed (step S40; Yes), the process proceeds to step S41. If it is determined that collation is not performed (step S40; No), the process proceeds to step S48.

  Next, the CPU 1 reads out the feature quantity stored corresponding to the user ID input in step S33 from the hard disk 7 to the RAM 4 (step S41).

  Next, the CPU 1 compares the feature amount calculated in step S36 with the feature amount read from the hard disk 7 in step S41, and calculates the similarity (step S42).

  Next, the CPU 1 reads the similarity display availability information stored in correspondence with the user ID input in step S33 from the hard disk 7 to the RAM 4 (step S43).

  Next, the CPU 1 determines whether or not to display the similarity based on the similarity display availability information read from the hard disk 7 (step S44).

  If it is determined that the similarity is displayed, the CPU 1 displays the similarity calculated in step 42 on the display unit 9 (step S45). If it is determined that the similarity is not displayed, the process proceeds to step S46. The display form will be described later.

  Thus, by displaying the similarity to the user, the current fingerprint state with respect to the fingerprint at the time of registration can be grasped. Therefore, when the degree of similarity is low, it is possible to re-register again or register with another finger.

  Further, by making it possible to select non-display of similarity, it is possible to prevent other people from creating a pseudo finger while checking the similarity, for example.

  Next, the CPU 1 determines whether or not the collation can be performed based on the similarity calculated in step S42 (step S46).

  If it is determined that the verification has been completed, the CPU 1 causes the function selected in step S30 to be executed (step S47). If it is determined that the verification has failed, the flow is terminated.

  In step S48, the CPU 1 causes the display unit 9 to display "Do you want to re-enter the fingerprint or end it?" In accordance with this instruction, the user inputs “re-input” or “end” from the operation unit 8 (step S49).

  If it is determined that “input again” is input (step S49; Yes), the process returns to step S35, and the CPU 1 displays “Please input fingerprint” on the display unit 9, and the steps after step S36 are repeated. It is. If it is determined that “end” is input (step S49; No), the flow ends.

  FIG. 5 is an example of a display form at the time of fingerprint collation according to the present embodiment. Except for the addition of the similarity graph, the display form is similar to that shown in FIG.

  The display example of FIG. 5 shows what is displayed on the display unit 9 in step S45 of FIG. This shows the case where the similarity is higher than the appropriate minimum level and collation is possible. As a guidance to the user, “Matched Mr. XX” is displayed.

  Also, the similarity calculated in step S42 in FIG. 4 is stored in the hard disk 7 (similarity history storage unit), and the operation unit 8 is operated from the display state in FIG. The history of the degree may be displayed. In this way, for example, the user can make a re-registration judgment when the finger state and the finger placement change from the time of registration and the similarity gradually decreases.

  The setting of the similarity display availability information read in step S43 in FIG. 4 will be described. The setting of the similarity display availability information is performed based on the fingerprint collation control flow of FIG.

  In step 30 of FIG. 4, setting of similarity display availability information is selected as function selection. The setting of the similarity display enable / disable information is stored in advance in the ROM 3 as a function that requires fingerprint collation. In step S31, the result is Yes, and the process proceeds to step S32. Since step S32 and subsequent steps almost overlap with the description of the fingerprint collation control described above, the description of the overlapped portion is omitted.

  As execution of the selection function in step S47, the CPU 1 causes the display unit 9 to display “Please input whether to display the similarity or not.” In accordance with this instruction, the user inputs “display” or “not display” from the operation unit 8. The CPU 1 stores the input result in the hard disk 7 in association with the user ID as similarity display availability information.

As described above, since the comparison is also required for the selection of display / non-display of the similarity, the selection of the display / non-display of the similarity at the time of own fingerprint verification can be switched only by itself. Therefore, for example, even if another person tries to make a false finger while illegally using his / her user ID and confirms the similarity, if the similarity is set to non-display, the other person will be Since it cannot be switched to display the similarity unless it is successful, the creation of a pseudo finger is suppressed.
<Fingerprint input practice mode>
FIG. 7 is a control flowchart of the fingerprint input practice mode according to the present embodiment. It is assumed that the fingerprint input practice mode is selected by the operation unit 8.

  First, the CPU 1 displays “Please input fingerprint” on the display unit 9 (step S50). In accordance with this instruction, the user places a finger on the fingerprint input unit 10.

  Next, the CPU 1 reads the user's fingerprint placed on the fingerprint input unit 10 and inputs fingerprint data (step S51).

  Next, the CPU 1 analyzes the fingerprint data input from the fingerprint input unit 10 and calculates, for example, feature amounts such as an image area, a sharpness, the number of feature points, and an angle (step S52).

  Next, the CPU 1 reads the first threshold value and the second threshold value from the ROM 3 into the RAM 4 (step S53). The first threshold value is a threshold value of the feature value set at the boundary between the registration permission area and the registration permission permission area for determining whether or not the feature value calculated in step S14 can be registered in the hard disk 7. The threshold value is a threshold value of a feature amount set in the registration allowable area.

  Next, the CPU 1 displays the relationship between the feature amount calculated in step S52 and the first threshold value and the second threshold value read in step S53 on the display unit 9 (step S54). The display form is the same as the display form at the time of fingerprint registration in FIG.

  Next, the CPU 1 displays on the display section 9 "Do you want to continue or end the practice?" (Step S55). In accordance with this instruction, the user inputs “continue” or “end” from the operation unit 8.

  If it is determined that “continue” is input (step S56; Yes), the process returns to step S50, and the CPU 1 displays “Please input fingerprint” on the display unit 9, and the steps after step S51 are repeated. . If it is determined that “end” is input (step S56; No), the flow is ended.

  As described above, when the fingerprint practice mode is provided, the user can practice the fingerprint input, and the user's fingerprint input ability can be improved. At this time, since a good level can be recognized within the registrable level, the user can change the finger placement and the finger to be registered while looking at the display shown in FIG. It is possible to obtain information on how to place and the most suitable registered finger. Then, the user can perform high-quality fingerprint input by performing fingerprint input with an optimal finger placement and an optimal registered finger.

  Also, since fingerprint registration is prohibited in the fingerprint practice mode, it is possible to practice many times without worrying about fingerprint information being stolen.

  In this embodiment, fingerprints are used for collation. However, the present invention can also be applied to collation using other biological information such as veins, faces, irises, retinas, voiceprints, and handwriting.

2 is a block diagram showing a device configuration of MFP 100 according to the present embodiment. FIG. It is a flowchart of the fingerprint registration control which concerns on this embodiment. It is an example of the display form at the time of fingerprint registration which concerns on this embodiment. FIG. 3A shows a display example in the registration failure state. FIG. 3B is a display example in the registration enabled state. It is a flowchart of the fingerprint collation control which concerns on this embodiment. It is an example of the display form at the time of fingerprint collation concerning this embodiment. It is an example of the display form of the similarity log | history at the time of the fingerprint collation which concerns on this embodiment. It is a control flow figure of fingerprint input practice mode concerning this embodiment.

Explanation of symbols

1 CPU
3 ROM
7 Hard Disk 8 Operation Unit 9 Display Unit 10 Fingerprint Input Unit 100 MFP

Claims (11)

A biometric information input unit for inputting biometric information data;
A feature amount calculating means for calculating a feature amount from biometric information data input by the biometric information input unit;
A feature amount storage unit for storing the feature amount calculated by the feature amount calculating means;
Biometric information matching means for matching biometric information based on the feature quantity calculated by the feature quantity calculating means and the feature quantity stored in advance in the feature quantity storage unit;
Feature quantity registration means for registering the feature quantity calculated by the feature quantity calculation means in the feature quantity storage unit;
A means for evaluating the feature quantity calculated by the feature quantity calculation means according to at least one evaluation item related to biometric information registration propriety, wherein the first threshold value is set at a boundary between the registration allowable area and the registration rejection allowable area. And feature amount evaluation means for evaluating the feature amount according to the evaluation item with reference to at least one second threshold set in the registration permissible region;
A display unit for displaying the evaluation result of the feature amount according to the evaluation item in comparison with the first threshold value and the at least one second threshold value as an evaluation threshold value;
A biometric information collating apparatus characterized by comprising: A feature quantity registration availability input unit that inputs registration availability by the feature quantity registration unit;
The display unit displays to input registration permission / inhibition from the feature amount registration permission / inhibition input unit when it is evaluated that the feature amount evaluation unit is in a registration allowable region.
The feature quantity registering means, when the feature quantity evaluating means evaluates that the feature quantity is in a registration allowable region and when the feature quantity registration availability input unit inputs registration permission, the feature quantity calculating means The biometric information matching apparatus according to claim 1, wherein the calculated feature quantity is registered in the feature quantity storage unit. Further comprising a feature amount matching execution determination unit that determines whether or not the biological information matching unit can perform matching;
The feature quantity collation execution availability determination unit determines whether or not the biometric information collation unit can perform collation based on the evaluation result of the feature quantity by the feature quantity evaluation unit. 2. The biometric information matching device according to 1. The biometric information collating unit includes a similarity calculating unit that calculates a similarity between the feature amount calculated by the feature amount calculating unit and the feature amount stored in the feature amount storage unit. Based on the similarity calculated by the means,
The biometric information matching device according to claim 1, wherein the display unit displays the similarity calculated by the similarity calculation unit. A similarity history storage unit for storing a history of the similarity calculated by the similarity calculation means;
The biometric information matching device according to claim 4, wherein the display unit displays a history of similarity stored in the similarity history storage unit. A similarity display availability information storage unit that stores similarity display availability information used to display the similarity calculated by the similarity calculation unit on the display unit;
5. The display unit according to claim 4, wherein the display unit displays the similarity calculated by the similarity calculation unit based on the similarity display availability information stored in the similarity display availability information storage unit. Biological information collation device. A similarity display availability information setting unit configured to set similarity display availability information stored in the similarity display availability information storage unit;
7. The biometric information collating apparatus according to claim 6, wherein when the collation by the biometric information collating unit is successful, the similarity display capability information can be set by the similarity display capability information setting unit. The biometric information collation apparatus according to claim 1, further comprising a biometric information input practice mode selection unit that selects a biometric information input practice mode. 9. The biometric information matching device according to claim 8, wherein when the biometric information input practice mode is selected by the biometric information input practice mode selection unit, registration by the feature amount registration unit is prohibited. The biometric information matching device according to any one of claims 1 to 9,
A verification required function storage unit for storing functions required for biometric information verification;
A function selection section for selecting various functions;
Have
When the function selected by the function selection unit is a function that requires biometric information collation stored in the collation-necessary function storage unit, the image forming apparatus causes collation by the biometric information collation device. . A feature amount calculating step for calculating a feature amount from input biological information data;
A feature amount registration step of registering the feature amount calculated in the feature amount calculation step in a feature amount storage unit;
A step of evaluating the feature amount calculated in the feature amount calculation step according to at least one evaluation item related to biometric information registration propriety, wherein the first threshold value is set at a boundary between the registration allowable region and the registration rejection allowable region. And a feature amount evaluation step for evaluating the feature amount according to the evaluation item with reference to at least one second threshold set in the registration allowable region;
A display step of displaying the evaluation result of the feature amount according to the evaluation item in comparison with the first threshold value and the at least one second threshold value as an evaluation threshold value;
A program that causes a computer to execute.

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