JP4214760B2 - Personal authentication system using biometric information - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a system for performing personal authentication using human biological information.
[0002]
[Prior art]
A highly accurate personal authentication system is required with the progress of the information society. In order to satisfy this social requirement, personal authentication systems that use biometric information that is a characteristic of the human body such as iris, fingerprint, and facial appearance have become widespread. In this system, the user's biometric information is converted into data and registered in the certification authority in advance. The user collects biometric information again when receiving authentication. The certification body authenticates the individual by comparing and collating the registered biometric information already registered with the biometric information collected from the user.
Furthermore, a technique for inputting ID information in order to increase accuracy is disclosed (for example, see Patent Document 1).
[0003]
[Patent Document 1]
JP 2002-278951 A
[0004]
[Problems to be solved by the invention]
It is clear from the past data that this biometric information is different for each person. However, since the degree of individual difference is small, it may happen that the individual difference cannot be determined. Even if each individual is authenticated using the same biometric information, the authentication result may be different depending on only the authentication device. In addition, the authentication accuracy may differ only by the manufacturer of the authentication device. Furthermore, the required accuracy requested by the application (usage target) that accepts the authentication result is extremely strict, and there is a case where only one type of authentication device is not sufficient. In such a case, it is an object of the present invention to realize a personal authentication system that enables personal authentication that is suitable for each individual and that satisfies the required accuracy.
[0005]
[Means for Solving the Problems]
  The present invention adopts the following configuration in order to solve the above points.
<Configuration 1>
  The present invention is a personal authentication system that includes a plurality of collation devices, and each of the collation devices collates biometric information acquired from a user with registered biometric information registered in advance by the user to authenticate the user. , Each matching deviceSetrecognitionaccuracyRecognition showing the level ofaccuracyDevice in which level data is storedRecognition accuracyA level data storage unit;Each target to use the verification result requiresrecognitionaccuracyRequest to indicate levelRecognition accuracyRequests with level data setRecognition accuracyThe level data setting unit and one of the verification devices authenticates the user.After,apparatusRecognition accuracyRecognition corresponding to the verification device of the level data storageaccuracyLevel data and requirementsRecognition accuracyLevel data setting part requestRecognition accuracyCompare with level dataDetermining whether or not the recognition accuracy level of the verification device that has performed the personal authentication has reached the required authentication accuracy level requested by each of the usage targets that should use the authentication result,recognitionaccuracyLevel requiredRecognition accuracyNot reached levelIfAnd a control device that urges the user to collate with another collation device.
[0006]
<Constitution2>
  The present invention also provides:A personal authentication system comprising a plurality of collation devices, wherein each collation device collates biometric information acquired from a user with registered biometric information registered in advance by the user, and is capable of authenticating the user. A device misrecognition rate storage unit in which the device misrecognition rate is stored, and a request misrecognition rate setting unit in which a request misrecognition rate indicating a misrecognition rate requested by each usage target to use the verification result After any of the verification devices authenticates the user, the error recognition rate corresponding to the verification device of the device error recognition rate storage unit is compared with the request error recognition rate of the request error recognition rate setting unit. When the misrecognition rate of the verification device that has performed authentication determines whether or not the usage target that should use the authentication result has reached the required misrecognition rate, and the misrecognition rate has reached the required error recognition rate Prompts users to collate with other collation devicesA control device,IncludeIt is characterized by that.
[0007]
<Constitution3>
  In configuration 1, there is provided device recognition accuracy level holding means for temporarily holding the total recognition accuracy level obtained by adding the recognition accuracy level of the verification device every time a specific user is verified using any biological information. The control device repeatedly executes collation with other biological information when the recognition accuracy level does not reach the required recognition accuracy level, and collates other biological information during the repeated execution of collation. Is added to the total recognition accuracy level held by the device recognition accuracy level holding means, and it is determined whether or not the total recognition accuracy level has reached the required recognition accuracy level.It is characterized by that.
<Configuration 4>
  In the configuration 2, there is provided a device error recognition rate holding means for temporarily holding a total error recognition rate obtained by accumulating the error recognition rates of the verification device every time a specific user is verified using any biological information. When the misrecognition rate has reached the required misrecognition rate, the control device repeatedly executes collation with other biometric information, and collates other biometric information during the repetitive execution of collation. Is integrated with the total misrecognition rate held by the device misrecognition rate holding means, and it is determined whether or not the total misrecognition rate has reached the required misrecognition rate.
<Configuration 5>
  In the configuration 1 or the configuration 2, it is a plurality of verification devices that hold the same registered biometric information or different registered biometric information.
<Configuration 6>
  In the configuration 1 or the configuration 2, the control device controls a guidance unit that guides the user to another verification device by voice.
<Configuration 7>
  Constitution2In the above, the required misrecognition rate is changed according to the total number of registered users.
[0008]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention will be described using specific examples.
<Configuration of Specific Example 1>
Even if an individual user authenticates using the same biometric information, the authentication accuracy level may be different if the authentication result is different only by different authentication devices or the manufacturer of the authentication device is different. Further, there may be a case where the required accuracy level is not satisfied with only the same type of authentication target. In order to cope with such a situation, a plurality of verification devices having different authentication targets and authentication accuracy are arranged in the same system. The control procedure of the plurality of verification devices becomes a problem. In this specific example, a device accuracy level table that stores the device accuracy level of the verification device for each verification device in the control device that controls the system, and authentication requested by each of a plurality of usage targets for which the user should use the verification results And a required accuracy level table for storing the accuracy level for each usage target. The control device uses the device accuracy level table and the required accuracy level table to select a verification device requested by the user from a plurality of verification devices, and achieves the required accuracy level that satisfies the requirements of the usage target. In order to achieve such an object, the system of this example is configured as follows. Here, the accuracy level is an index representing the level of authentication accuracy, and the larger the numerical value, the higher the authentication accuracy. For example, the accuracy level with an authentication accuracy of 90% is an index, the accuracy level with an authentication accuracy of 99% is 2, the accuracy level with an authentication accuracy of 99.9% is 3, and so on.
[0009]
FIG. 1 is a block diagram of the configuration of the first specific example.
As shown in FIG. 1, the personal authentication system using the biometric information of the first specific example includes n verification devices 1-1 to 1-n, a control device 2, a device accuracy level table 3-1, and a required accuracy level table. 3-2, a device accuracy level register 4-1, a verification device register 4-2, and a required accuracy level register 4-3.
[0010]
The collation devices 1-1 to 1-n are portions that collate the collected biometric information collected from the user with the registered biometric information registered in advance, and personally authenticate the user from the collation result. The plurality of verification devices have different authentication targets or authentication accuracy levels for each device. The authentication target is a method based on biological information such as iris, fingerprint, and facial appearance. Usually, the authentication accuracy level differs depending on the type of biometric information. It should be considered that even if the collation devices use the same biometric information, the authentication accuracy level differs if the manufacturer is different.
[0011]
The control device 2 uses the postscript device accuracy level table 3-1 and the postscript required accuracy level table 3-2 possessed by itself to determine the total device accuracy level held in the postscript device accuracy level register 4-1 as the collation result. The verification device 1-1 to 1-n is changed and the verification of a specific user is repeatedly performed until the usage accuracy level to be used exceeds the required accuracy level. Therefore, it is desirable to provide a part that informs the user by voice or display in order to repeatedly execute collation. The plurality of verification devices 1-1 to 1-n are connected to this control device.
[0012]
The device accuracy level table 3-1 is a set of data provided in the control device 2. This is a data sheet for storing data of the authentication accuracy level in advance for each verification device connected to the control device 2 with each verification device as an address.
[0013]
For example, the collation device 1 → authentication level A1, collation device 2 → authentication level A2,... Collation device n → authentication level An is stored. This authentication accuracy level usually varies depending on the type of biometric information. It should be considered that even if the collation devices use the same biometric information, the authentication accuracy level differs if the manufacturer is different.
[0014]
The required accuracy level table 3-2 is a set of data provided in the control device 2. For all the usage targets that are expected to use the verification results of the verification device, each usage target is used as an address, and the required accuracy level data requested for the verification results is stored in advance. This is a data sheet.
[0015]
For example, usage target 1 → request level B1, usage target 2 → request level B2,... Usage target n → request level Bn. This required accuracy level is usually different depending on the type of object to be used. Further, even if the same usage target is used, the required accuracy level may differ depending on the business entity that manages the usage target.
[0016]
The device accuracy level register 4-1 is an internal register used in the process in which the control device 2 collates a specific user. This is a portion that temporarily holds the total device accuracy level obtained by adding the device accuracy levels of the verification device each time a specific user verification is performed using the verification devices 1-1 to 1-n.
[0017]
The collation device register 4-2 is an internal register used in the process in which the control device 2 collates a specific user. This is a part for temporarily storing which collation device determines the collation result at the present time.
[0018]
The required accuracy level register 4-3 is an internal register used in the process in which the control device collates a specific user. This is a part in which the required accuracy level of the usage target that the user is trying to use the verification result is temporarily stored.
[0019]
<Operation of Specific Example 1>
FIG. 2 is a flowchart of the authentication operation of the first specific example.
The personal authentication system using the biometric information of the first specific example having the above configuration performs the authentication operation as follows. A description will be given according to the steps S (1) 1 to S (1) 8.
[0020]
Step S (1) 1
When the user 5 (FIG. 1) clarifies the usage target and starts authentication, the control device 2 (FIG. 1) inserts X = 0 into the device accuracy level register 4-1 (FIG. 1), and the required accuracy level register In 4-3, the required accuracy level Y = By requested by the usage target is inserted.
[0021]
Step S (1) 2
The user 5 (FIG. 1) selects a collation device that he / she wishes to collate. As an example, a case where the user 5 (FIG. 1) selects the verification device m will be described. This selection is made based on the judgment of the user 5 (FIG. 1). For example, the user may feel resistance to a specific authentication target.
[0022]
Step S (1) 3
The collation device m determines that the collation device is invalid when the user 5 (FIG. 1) is selected incorrectly, for example, when the authentication target is a fingerprint but the user does not have a fingerprint. Prompts the user to select a collation device, and returns to step S (1) 2. Further, when the user 5 (FIG. 1) later is asked to reselect the verification device (this corresponds to returning from S (1) 8), the same verification target verification device as in the previous case is selected. In addition, it is determined that the collation device is invalid, and the user is prompted to select another collation device, and the process returns to step S (1) 2. If there is no particular problem in the selection of the user 5 (FIG. 1), the process proceeds to the next. Here, it is assumed that there is no particular problem.
[0023]
Step S (1) 4
The collation device m collects the collected biometric information of the user 5 (FIG. 1) and collates it with the registered biometric information.
Step S (1) 5
If the verification is not successful, the user is prompted to select another verification device, and the process returns to step S (1) 2. Here, it proceeds to the next assuming that it has been verified.
[0024]
Step S (1) 6
The control device 2 (FIG. 1) stores Z = m in the verification device register 4-2 (FIG. 1) and proceeds to the next.
Step S (1) 7
The control device 2 (FIG. 1) reads the device accuracy level Am of the verification device m from the device accuracy level table 3-1 (FIG. 1), adds Am to the device accuracy level register 4-1, and sets X = X + Am. Store.
[0025]
Step S (1) 8
The control device 2 (FIG. 1) reads the required accuracy Y to be used from the required accuracy level register 4-3 (FIG. 1) and stores the total device accuracy level stored in the device accuracy level register 4-1 (FIG. 1). If X ≧ Y is satisfied as compared with the value X, it is determined that the authentication has passed. If not satisfied, the flow returns to step S (1) 2 and the flow is repeated. By repeating the flow again, the value X of the total device accuracy level is successively increased, and finally X ≧ Y is satisfied.
[0026]
In the personal authentication system using the biometric information of the specific example 1 described above, the microprocessor constituting the normal control device 2 operates according to a predetermined program to achieve the object. However, the present invention is not limited to this example. That is, each function may be configured by an individual circuit block.
[0027]
<Effect of specific example 1>
As described above, by adopting the configuration of the first specific example, the following effects are obtained.
(1) Since the user can start an authentication operation after selecting a predetermined verification device from a plurality of verification devices, it is not necessary to select a verification device that the user himself feels resistance.
(2) Even if the required accuracy level of the object to be used cannot be achieved depending on one type of verification device, the total device accuracy level exceeding the required accuracy can be achieved by using a plurality of types of verification devices. High personal authentication is executed.
(3) Even if it is an authentication target using biometric information whose data changes depending on the environment and changes over time, a verification device can be selected depending on the authentication time, so that it is mistakenly recognized as a stranger even though it is the person. Probability is low and convenience can be expected.
[0028]
<Configuration of Specific Example 2>
Even if an individual user authenticates using the same biometric information, authentication is performed to cope with misrecognition that occurs only when the authentication device is different or a difference in the recognition rate that occurs only when the authentication device manufacturer is different. A plurality of verification devices with different targets and false recognition rates are arranged in the same system. The control procedure of the plurality of verification devices becomes a problem. In this specific example, the control device that controls the system requires a device error recognition rate table for storing the device error recognition rate of each verification device, and a plurality of usage targets for which the user should use the verification results. And a required misrecognition rate table that stores a misrecognition rate for each usage target. The control device achieves the required misrecognition rate that satisfies the requirements of the target of use by selecting the verification device requested by the user from a plurality of verification devices using the device erroneous recognition rate table and the required erroneous recognition rate table. To do. In order to achieve such an object, the system of this example is configured as follows. Here, the misrecognition rate means the probability that another person who is not registered will pass the verification.
[0029]
FIG. 3 is a block diagram of the configuration of the second specific example.
From FIG. 3, the personal authentication system using the biometric information of the specific example 2 includes n verification devices 1-1 to 1-n, a control device 12, a device error recognition rate table 13-1, and a request error. A recognition rate table 13-2, a device error recognition rate register 14-1, a verification device register 4-2, and a request error recognition rate register 14-3 are provided.
[0030]
The control device 12 uses the postscript device misrecognition rate table 13-1 and postscript request misrecognition rate table 13-2 possessed by itself, and the total device misrecognition held in the postscript device misrecognition rate register 14-1. This is a part that repeatedly executes the verification of a specific user by changing the verification devices 1-1 to 1-n until the rate falls below the required misrecognition rate requested by the usage target that should use the verification result. The plurality of verification devices 1-1 to 1-n are connected to this control device.
[0031]
The device misrecognition rate table 13-1 is a set of data provided in the control device 12. This is a data sheet in which the data of the erroneous recognition rate is stored in advance for each verification device connected to the control device 12 with each verification device as an address.
[0032]
For example, the collation device 1 → the misrecognition rate C1, the collation device 2 → the misrecognition rate C2,... The collation device n → the misrecognition rate Cn. This misrecognition rate usually varies depending on the type of biological information. Even if the collation devices use the same biometric information, it should be considered that the false recognition rate is different if the manufacturer is different.
[0033]
The request misrecognition rate table 13-2 is a set of data provided in the control device 12. For all the usage targets that are expected to use the verification results of the verification device, each usage target is used as an address, and the erroneous recognition rate data requested for the verification results by the usage target is stored in advance. This is a data sheet.
[0034]
For example, usage target 1 → requested misrecognition rate D1, usage target 2 → requested misrecognition rate D2,... Usage target n → requested misrecognition rate Dn. This required misrecognition rate usually varies depending on the type of use target. Moreover, even if the same usage target is used, the required misrecognition rate may differ depending on the business entity that manages the usage target.
[0035]
The device misrecognition rate register 14-1 is an internal register used in the process in which the control device 12 collates a specific user. This is a portion that temporarily holds the total device error recognition rate obtained by integrating the device error recognition rates of the verification device each time a specific user is verified using the verification devices 1-1 to 1-n.
[0036]
The collation device register 4-2 is an internal register used in the process in which the control device 12 collates a specific user. This is a part that temporarily stores which collation device determines the current collation result.
[0037]
The request misrecognition rate register 14-3 is an internal register used in the process in which the control device collates a specific user. This is a part in which the request misrecognition rate of the usage target that the user is trying to use the verification result is temporarily stored.
Since other components are the same as those in the first specific example, description thereof is omitted.
[0038]
<Operation of Specific Example 2>
FIG. 4 is a flowchart of the authentication operation according to the second specific example.
The personal authentication system using the biometric information of the specific example 2 having the above configuration performs the following authentication operation. A description will be given according to the steps S (2) 1 to S (2) 8.
[0039]
Step S (2) 1
When the user 15 (FIG. 3) clarifies the usage target and starts authentication, the control device 12 (FIG. 3) inserts P = 1 into the device misrecognition rate register 14-1 (FIG. 3) and requests misrecognition. The request misrecognition rate Q = Dq requested by the utilization target is inserted into the rate register 14-3.
[0040]
Step S (2) 2
The user 15 (FIG. 3) selects a collation device that he / she wishes to collate. As an example, a case where the verification device m is selected will be described. This selection is made based on the judgment of the user 5 (FIG. 3). For example, the user may feel resistance to a specific authentication target.
[0041]
Step S (2) 3
The collation device m determines that the collation device is invalid when the user 15 (FIG. 3) is selected incorrectly, for example, when the authentication target is a fingerprint but the user does not have a fingerprint. Prompts the user to select a collation device, and returns to step S (2) 2. Furthermore, when the user 15 (FIG. 3) is later asked to reselect the verification device (this corresponds to returning from S (2) 8), the same verification target verification device as the previous time is selected. In addition, it is determined that the collation device is invalid, and the user is prompted to select another collation device, and the process returns to step S (2) 2. If there is no particular problem in selecting the user 15 (FIG. 3), the process proceeds to the next. Here, it is assumed that there is no particular problem.
[0042]
Step S (2) 4
The collation device m collects the collected biometric information of the user 15 (FIG. 3) and collates it with the registered biometric information.
Step S (2) 5
If the verification is not successful, the user is prompted to select another verification device, and the process returns to step S (2) 2. Here, it proceeds to the next assuming that it has been verified.
[0043]
Step S (2) 6
The control device 12 (FIG. 3) stores Z = m in the verification device register 4-2 (FIG. 3) and proceeds to the next.
Step S (2) 7
The control device 12 (FIG. 3) reads the device error recognition rate Cm of the verification device m from the device error recognition rate table 13-1 (FIG. 3), and adds Cm to the value of the device error recognition rate register 14-1. P = P × Cm is stored.
[0044]
Step S (1) 8
The control device 12 (FIG. 3) reads the request misrecognition rate Q to be used from the request misrecognition rate register 14-3 (FIG. 3) and stores it in the device misrecognition rate register 14-1 (FIG. 3). If Q ≧ P is satisfied as compared with the total device error recognition rate value P, it is determined that the authentication has passed, and if not satisfied, the flow returns to step S (2) 2 and the flow is repeated. By repeating the flow again, the total device error recognition rate value P is successively reduced, and finally, Q ≧ P is satisfied.
[0045]
In the personal authentication system using the biometric information of the second specific example described above, the microprocessor constituting the normal control device 12 operates according to a predetermined program to achieve the object. However, the present invention is not limited to this example. That is, each function may be configured by an individual circuit block.
In the above description, the device misrecognition rate table 13-1 corresponds to the device misrecognition rate classification means of claim 2, and the request misrecognition rate table 13-2 corresponds to the request misrecognition rate classification means of the same paragraph. The misrecognition rate register 14-1 corresponds to the device misrecognition rate holding means in the same section.
[0046]
<Effect of specific example 2>
As described above, the following effects are obtained by adopting the configuration of the second specific example.
(1) Even if the misrecognition rate differs depending on the collation device, the collation is repeated until the required accuracy misrecognition rate of the usage target is reached, so that more reliable personal authentication is performed.
(2) Even if it is an authentication target that uses biometric information whose data changes depending on the environment or changes over time, the verification device can be selected depending on the authentication, so that it is mistakenly recognized as another person even though it is the person. Probability is low and convenience can be expected.
[0047]
<Configuration of Specific Example 3>
Specific example 3 is an extended example of specific example 2, and the following matters are taken into consideration. For example, the number of registrants greatly increases, and if the request error recognition rate defined in the specific example 2 is used as it is, the reliability may be insufficient. In such a case, it is conceivable to maintain the reliability by tightening the required misrecognition rate in accordance with the increase in registrants. In order to satisfy the above requirements, the system of this example is configured as follows.
[0048]
FIG. 5 is a block diagram of the configuration of the third specific example.
From FIG. 5, the personal authentication system using the biometric information of the specific example 3 includes n verification devices 1-1 to 1-n, a control device 22, a device error recognition rate table 13-1, and a request error. Recognition rate table 13-2, request misrecognition rate rank-up table 23-1, device misrecognition rate register 14-1, verification device register 4-2, request misrecognition rate register 14-3, total registration A number register 24-1.
[0049]
The control device 22 uses the device misrecognition rate table 13-1, the request misrecognition rate table 13-2, and the request misrecognition rate rank-up table 23-1 to be described later. Identifies the verification devices 1-1 to 1-n until the total device error recognition rate temporarily held in the register 14-1 falls below the required error recognition rate requested by the target to be used for the verification result. This is the part that repeatedly executes the user verification. As the request misrecognition rate here, the request misrecognition rate ranked up according to the increase in the number of registered users is used. The plurality of verification devices 1-1 to 1-n are connected to this control device.
[0050]
The request misrecognition rate rank-up table 23-1 is a set of data provided in the control device 22. This is a data sheet in which the number E of registered users of the entire system is used as an address, and the rank-up constant S of the required recognition error rate at that time is stored in advance.
[0051]
The total registrant number register 24-1 is an internal register used in the process in which the control device 12 collates a specific user. It is a part that temporarily holds the total number of registered users in the system according to the present invention at the present time.
Other configurations are the same as those of the second specific example, and thus the description thereof is omitted.
[0052]
<Operation of Specific Example 3>
FIG. 5 is a flowchart of the authentication operation of the third specific example.
The personal authentication system using the biometric information of Example 3 having the above configuration performs the following authentication operation. A description will be given according to the steps S (3) 1 to S (3) 8.
[0053]
Step S (3) 1
When the user 25 (FIG. 5) clarifies the usage target and starts authentication, the control device 22 (FIG. 5) inserts P = 1 into the device misrecognition rate register 14-1 (FIG. 5) and requests misrecognition. The request misrecognition rate Q = Dq requested by the usage target is inserted into the rate register 14-3 (FIG. 5), and the total number of registrants in the system at the present time is added to the total registrant number register 24-1 (FIG. 5). Insert R = Er.
[0054]
Step S (3) 2
The user 25 (FIG. 5) selects a collation device that he / she wishes to collate. As an example, a case where the verification device m is selected will be described. This selection is made based on the judgment of the user 25 (FIG. 5). For example, the user may feel resistance to a specific authentication target.
[0055]
Step S (3) 3
The collation device m determines that the collation device is invalid when the user 25 (FIG. 5) is selected incorrectly, for example, when the authentication target is a fingerprint but the user does not have a fingerprint. Prompts the user to select a collation device, and returns to step S (3) 2. Further, when the user 25 (FIG. 5) is later asked to reselect the collation device (corresponding to returning from S (3) 8), the same authentication target collation device as the previous one is selected. In addition, it is determined that the collation device is invalid, and the user is prompted to select another collation device, and the process returns to step S (3) 2. If there is no particular problem in selecting the user 25 (FIG. 5), the process proceeds to the next. Here, it is assumed that there is no particular problem.
[0056]
Step S (3) 4
The collation device m collects the collected biometric information of the user 25 (FIG. 5) and collates it with the registered biometric information.
Step S (3) 5
If the verification is not successful, the user is prompted to select another verification device, and the process returns to step S (3) 2. Here, it proceeds to the next assuming that it has been verified.
[0057]
Step S (3) 6
The control device 22 (FIG. 5) stores Z = m in the verification device register 4-2 (FIG. 3) and proceeds to the next.
Step S (2) 7a
The control device 22 (FIG. 5) reads the device error recognition rate Cm of the verification device m from the device error recognition rate table 13-1 (FIG. 5), and adds Cm to the value of the device error recognition rate register 14-1. P = P × Cm is stored.
[0058]
Step S (2) 7b
The control device 22 (FIG. 5) reads the rank-up constant Sr of the current request misrecognition rate from the request misrecognition rate rank-up table and stores Q = Dq × 1 / Sr in the request misrecognition rate register 14-3. To do.
[0059]
Step S (3) 8
The control device 22 (FIG. 5) reads the request misrecognition rate Q to be used from the request misrecognition rate register 14-3 (FIG. 5) and stores it in the device misrecognition rate register 14-1 (FIG. 5). If Q ≧ P is satisfied as compared with the total device error recognition rate value P, it is determined that the authentication has passed, and if not satisfied, the flow returns to step S (3) 2 and the flow is repeated. By re-executing the flow, the total device error recognition rate value P is successively decreased, and finally Q ≧ P is satisfied.
[0060]
In the personal authentication system using the biometric information of the third specific example described above, the microprocessor constituting the normal control device 22 operates according to a predetermined program to achieve the object. However, the present invention is not limited to this example. That is, each function may be configured by an individual circuit block.
[0061]
Furthermore, in the above description, the required erroneous recognition rate rank-up table 23-1 (FIG. 5) is not limited to the case where the total number of registered users increases later. That is, this specific example can be applied even when the number of registrants exceeds the planned number in the initial stage.
[0062]
<Effect of specific example 3>
As described above, by adopting the configuration of the specific example 3, the following effect is obtained in addition to the effect of the specific example 2.
Since the required misrecognition rate changes according to the number of registrants, it is possible to prevent deterioration in authentication accuracy due to an increase in the number of registered persons.
[Brief description of the drawings]
FIG. 1 is a block diagram of a configuration of a specific example 1;
FIG. 2 is a flowchart of an authentication operation of specific example 1;
FIG. 3 is a block diagram of a configuration of specific example 2;
FIG. 4 is a flowchart of an authentication operation of specific example 2;
FIG. 5 is a block diagram of a configuration of specific example 3;
FIG. 6 is a flowchart of an authentication operation according to a specific example 3;
[Explanation of symbols]
1-1 to 1-n verification device
2 Control device
3-1 Device accuracy level table
3-2 Required accuracy level table
4-1 Device accuracy level register
4-2 Verification device register
4-3 Required accuracy level register

Claims (7)

A personal authentication system comprising a plurality of collation devices, wherein each collation device collates biometric information acquired from a user with registered biometric information registered in advance by the user, and is capable of authenticating the user,
And each verification equipment recognition accuracy recognition accuracy level device recognition data is stored accuracy level data storage unit which indicates the level of,
A required recognition accuracy level data setting unit in which required recognition accuracy level data indicating a recognition accuracy level requested by each of the usage targets to be used for the verification result is set;
After any of the above verification device authenticates a person of the user, the device recognition accuracy level data storage unit recognition accuracy level data and said request recognition accuracy level data setting unit requests recognition accuracy level corresponding to the collating device It is determined whether the recognition accuracy level of the collation device that has performed the personal authentication by comparing with the data has reached the required authentication accuracy level requested by each of the usage targets that should use the authentication result, and the recognition accuracy level is required. If it does not reach the recognition accuracy level, a control device which prompts the collation with other matching device to said user,
A personal authentication system using biometric information characterized by including: A personal authentication system comprising a plurality of collation devices, wherein each collation device collates biometric information acquired from a user with registered biometric information registered in advance by the user, and is capable of authenticating the user,
A device misrecognition rate storage unit in which the misrecognition rate of each verification device is stored;
A request misrecognition rate setting unit in which a request misrecognition rate indicating a misrecognition rate requested by each usage target to be used as a verification result is set;
After any of the verification devices authenticates the user, the error recognition rate corresponding to the verification device in the device error recognition rate storage unit is compared with the request error recognition rate of the request error recognition rate setting unit. Then, it is determined whether or not the error recognition rate of the verification device that has performed the personal authentication has reached the required error recognition rate requested by each of the usage targets that should use the authentication result, and the error recognition rate becomes the required error recognition rate. A control device that prompts the user to collate with another collating device;
A personal authentication system using biometric information characterized by including: In the personal authentication system using the biometric information according to claim 1,
A device recognition accuracy level holding unit that temporarily holds a total recognition accuracy level obtained by adding the recognition accuracy level of the verification device every time a specific user is verified using any one of the biological information. ,
When the recognition accuracy level does not reach the required recognition accuracy level, the control device repeatedly executes collation with other biometric information, and collates other biometric information during the repetitive execution of the collation. Adding the recognition accuracy level of the verification device to the total recognition accuracy level held by the device recognition accuracy level holding means, and determining whether or not the total recognition accuracy level has reached the required recognition accuracy level. A personal authentication system using biometric information. In the personal authentication system using the biometric information according to claim 2,
A device misrecognition rate holding unit that temporarily holds a total misrecognition rate obtained by integrating the misrecognition rates of the verification device every time a specific user is collated using any of the biometric information. ,
When the misrecognition rate has reached the required misrecognition rate, the control device repeatedly performs collation with other biometric information, and collates other biometric information during the repetitive execution of the collation. The error recognition rate of the collation device is added to the total error recognition rate held by the device error recognition rate holding means, and it is determined whether the total error recognition rate has reached the required error recognition rate. A personal authentication system using biometric information. In the personal authentication system using the biometric information according to claim 1 or 2,
A personal authentication system using biometric information, which is a plurality of verification devices that hold the same registered biometric information or different registered biometric information. In the personal authentication system using the biometric information according to claim 1 or 2,
A personal authentication system using biometric information, wherein the control device controls guidance means for voice guidance of the user to another verification device. In the personal authentication system using the biometric information according to claim 2 ,
A personal authentication system using biometric information, wherein the required misrecognition rate is changed according to the total number of registrants.

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