KR20150011046A - Method And Apparatus For Performing Authentication Based On Biometrics - Google Patents

Abstract

An authentication method based on biometrics and an electronic apparatus thereof are provided. The electronic apparatus can acquire sensing data by sensing an authentication target. The electronic apparatus can calculate feature information on the basis of the sensing data. The electronic apparatus can record the feature information as registration information as to the authentication target, if quality level of biometric information including at least one of the sensing data and the feature information is equal to or above a pre-established first quality level in a registration mode. The electronic apparatus can check whether the feature information matches the registration information, if the quality level of the biometric information is equal to or above a second quality level in an authentication mode.

Description

FIELD OF THE INVENTION [0001] The present invention relates to a biometrics-

The present invention relates to a biometric-based authentication method and an electronic device capable of performing biometric-based authentication.

Various approaches related to security or authentication in electronic devices have been used.

For example, portable electronic devices have a locking function to prevent the use of unauthorized persons. Techniques for implementing the locking function include a password or PIN (Personal Identification Number) input method, and a pattern locking method using a touch screen.

In addition, a fingerprint recognition method, a facial recognition method, and a voice recognition method are used as biometric methods for recognizing individual characteristics of a living body and utilizing the same in a security system or an authentication system.

In the biometric method, the user can compare the data registered in the database of the authentication system with the data detected by the user at the time of authentication, and the success or failure of the authentication can be determined.

In recent years, there has been an attempt to use biometrics in various fields as the implementation technology related to biometrics develops. There are various requirements for performance such as reliability or security level of biometrics for each security system, authentication system or application field, and research is needed to meet these requirements.

Further, research is needed to improve the usability of a user trying to authenticate or using the biometric authentication system.

An object of the present invention is to provide a biometric authentication-based authentication method and apparatus capable of setting a biometric reference according to a situation in performing biometric authentication.

According to another aspect of the present invention, there is provided a biometric authentication-based authentication method and apparatus in which a criterion for evaluating a quality level of biometric information is differently set in a registration mode and an authentication mode in performing biometric-based authentication .

According to another aspect of the present invention, there is provided a biometric authentication method and apparatus for providing a user interface for setting a security level and performing authentication according to a set security level in performing biometric authentication, .

According to another aspect of the present invention, there is provided a biometric authentication-based authentication method and apparatus for performing biometric-based authentication, wherein registration information is updated using new biometric information when a preset condition is satisfied, .

According to an aspect of the present invention, a biometric-based authentication method in an electronic device includes: sensing data to be authenticated to obtain sensing data; Calculating feature information based on the sensing data; Recording the feature information as registration information on the authentication object if the quality level of the biometric information including at least one of the sensing data and the characteristic information is equal to or higher than a predetermined first quality level in the registration mode; And verifying that the feature information matches the registration information if the quality level of the biometric information is equal to or higher than a preset second quality level in the authentication mode, And the predetermined second quality level in the authentication mode may be different.

According to an aspect of the present invention, the step of acquiring the sensing data may include acquiring corrected sensing data by correcting the sensing data, wherein the sensing data included in the biometric information may include the corrected sensing data have.

According to one aspect, the predetermined first quality level may be higher than the preset second quality level.

According to an aspect of the present invention, the predetermined first quality level may be a preset registration sensitivity data quality level for evaluating a quality level for the sensing data in the registration mode, and a preset registration for evaluating a quality level for the characteristic information Wherein the predetermined second quality level includes at least one of a predetermined authentication sensing data quality level for evaluating a quality level for the sensing data in the authentication mode and a quality level for the characteristic information And a preset authentication feature information quality level for evaluation.

According to an aspect of the present invention, the predetermined registration sensing data quality level is higher than the predetermined authentication sensing data quality level, and the preset registration feature information quality level may be higher than the predetermined authentication characteristic information quality level.

According to an aspect, the quality level of the biometric information may include at least one of a quality level for the sensing data and a quality level for the characteristic information.

According to an aspect of the present invention, when the biometric information is fingerprint identification information, the quality level of the sensing data is determined based on at least one of an area size, a distortion degree, an offset, and a rotation angle of an image obtained from the authentication object And the quality level for the feature information can be calculated based on at least one of the presence of at least one of the center point and the delta and the number of feature points in the minutiae.

According to one aspect, the authentication object may include at least one of a fingerprint, a hand pattern, a blood vessel pattern, a retina pattern, an iris pattern, an ear shape, and a face shape of a user.

According to one aspect, in the registration mode, if the quality level of the biometric information is lower than the preset first quality level, providing a user interface for at least one of feedback on registration failure and acquisition of new sensing data As shown in FIG.

According to an aspect, in the authentication mode, if the quality level of the biometric information is lower than the predetermined second quality level, providing a user interface for at least one of acquisition of new sensing data and feedback on authentication failure As shown in FIG.

According to an aspect of the present invention, when the quality level of the biometric information includes the quality level of the sensing data, the quality level of the sensing data is lower than a preset registration sensing data quality level belonging to the preset first quality level , And if it is lower than a predetermined authentication sensing data quality level belonging to the preset second quality level, the step of calculating the feature information may be omitted and a user interface requesting acquisition of new sensing data may be provided .

According to an aspect of the present invention, an electronic device capable of performing biometric-based authentication includes a memory for storing a preset first quality level and a preset second quality level; A sensor unit sensing the authentication object to acquire sensing data; And a controller for calculating feature information based on the sensed data, wherein in the registration mode, the quality level of the biometric information including at least one of the sensed data and the characteristic information is set to the predetermined first quality level If the quality level of the biometric information is equal to or higher than the predetermined second quality level in the authentication mode, the feature information is stored in the memory as the registration Information, and the predetermined first quality level in the registration mode and the predetermined second quality level in the authentication mode may be different from each other.

According to an aspect of the present invention, the controller acquires corrected sensing data by correcting the sensed data, and the sensed data included in the biometric information may include the sensed sensed data.

According to one aspect, the predetermined first quality level may be higher than the preset second quality level.

According to an aspect of the present invention, the predetermined first quality level may be a preset registration sensitivity data quality level for evaluating a quality level for the sensing data in the registration mode, and a preset registration for evaluating a quality level for the characteristic information Wherein the predetermined second quality level includes at least one of a predetermined authentication sensing data quality level for evaluating a quality level for the sensing data in the authentication mode and a quality level for the characteristic information And a preset authentication feature information quality level for evaluation.

According to an aspect of the present invention, the predetermined registration sensing data quality level is higher than the predetermined authentication sensing data quality level, and the preset registration feature information quality level may be higher than the predetermined authentication characteristic information quality level.

According to an aspect, the quality level of the biometric information may include at least one of a quality level for the sensing data and a quality level for the characteristic information.

According to an aspect of the present invention, when the biometric information is fingerprint identification information, the quality level of the sensing data is determined based on at least one of an area size, a distortion degree, an offset, and a rotation angle of an image obtained from the authentication object And the quality level for the feature information can be calculated based on at least one of the presence of at least one of the center point and the delta and the number of feature points in the minutiae.

According to one aspect, the authentication object may include at least one of a fingerprint, a hand pattern, a blood vessel pattern, a retina pattern, an iris pattern, an ear shape, and a face shape of a user.

According to another aspect of the present invention, there is provided a method of providing a user interface for providing at least one of a feedback on registration failure and acquisition of new sensing data when the quality level of the biometric information is lower than the preset first quality level in the registration mode, And may further include an interface section.

According to an aspect of the present invention, when the quality level of the biometric information is lower than the predetermined second quality level in the authentication mode, a user who provides a user interface for at least one of acquisition of new sensing data, And may further include an interface section.

According to an aspect of the present invention, when the quality level of the biometric information includes the quality level of the sensing data, the control unit determines that the quality level of the sensing data is higher than a predetermined registration sensing data quality level belonging to the preset first quality level Is lower than a predetermined level or is lower than a predetermined authentication sensing data quality level belonging to the predetermined second quality level, it is possible to omit calculation of the characteristic information and to control so that a user interface requesting acquisition of new sensing data is provided have.

According to another aspect of the present invention, a biometric-based authentication method in an electronic device includes: storing registration information on an authentication target; Providing a user interface for setting a security level for an application performing biometric authentication based authentication; Designating a threshold value according to a security level set through the user interface; Sensing the authentication object to obtain sensing data; Calculating feature information based on the sensing data; And generating an event for authentication success if the match score indicating the degree to which the feature information matches the registration information is equal to or greater than the specified threshold value.

According to another aspect, in the step of designating the threshold value, when a security level set through the user interface is high, a first threshold value for lowering a false acceptance rate (FAR) for another authentication target is designated And a second threshold value for lowering the False Rejection Rate (FRR) for the authentication object when the security level set through the user interface is low.

According to another aspect, the application may include at least one of a screen lock application and a financial application.

Accumulating and storing match scores indicating the degree to which the feature information matches the registration information, according to another aspect; And controlling the registration information to be updated using the feature information if the accumulated match score satisfies a predetermined condition.

According to another aspect, the step of controlling the registration information to be updated may include the step of controlling the feature information to be stored as a new feature information template if the quality of the feature information is higher than the quality of the feature information template included in the registration information .

According to another aspect, the step of accumulating and storing the match scores may include accumulating and storing authentication scores having a match score equal to or greater than a preset threshold value.

According to another aspect, the predetermined condition may indicate a case where the accumulated authentication score for the authentication object gradually decreases and is equal to or close to the preset threshold value.

According to another aspect of the present invention, when the authentication object is a child, the registration information is periodically updated using the feature information, and when the authentication object is an adult, an update number using the feature information is The update of the registration information can be restricted by stopping the addition of the feature information template included in the registration information for the authentication object if the number of times exceeds a predetermined number.

According to another aspect of the present invention, an electronic device capable of performing biometric-based authentication includes: a memory that stores registration information on an authentication target; A user interface unit for providing a user interface for setting a security level for an application performing biometric authentication based authentication; A sensor unit for sensing the authentication object to acquire sensing data; And a threshold value setting unit configured to set a threshold according to the security level set through the user interface, calculate feature information based on the sensing data, and if the match score indicating the degree to which the feature information matches the registration information is equal to or greater than the specified threshold value, And a control unit for generating an event for authentication success.

According to another aspect of the present invention, the control unit designates a first threshold for lowering the FAR when the security level set through the user interface is high, and for decreasing the FRR when the security level set through the user interface is low 2 Threshold can be specified.

According to another aspect of the present invention, the control unit controls to accumulate and store a match score indicating a degree to which the feature information is matched with the registration information, and when the accumulated match score satisfies a preset condition, So that the registration information is updated.

According to another aspect, the controller may control the feature information to be stored as a new feature information template if the quality of the feature information is higher than the quality of the feature information template included in the registration information.

According to another aspect of the present invention, the control unit may control the accumulation of authentication scores having a match score equal to or greater than a preset threshold value.

According to another aspect, the predetermined condition may indicate a case where the accumulated authentication score for the authentication object gradually decreases and is equal to or close to the preset threshold value.

According to another aspect of the present invention, the control unit controls the registration information to be periodically updated using the feature information when the authentication object is a child, and when the authentication object is an adult, The update of the registration information can be restricted by stopping the addition of the feature information template included in the registration information on the authentication object if the update count exceeds a predetermined number.

According to another aspect of the present invention, in a biometric authentication-based authentication method in an electronic device, when the quality level of first biometric information acquired from an authentication object is equal to or higher than a predetermined first quality level, Recording at least a part thereof as registration information for the authentication object; Providing a user interface for setting a security level for an application performing biometric authentication based authentication; Designating a threshold value according to a security level set through the user interface; And if the quality score of the second biometric information obtained from the authentication subject is equal to or higher than a predetermined second quality level and the match score indicating the degree to which the second biometric information matches the registration information is equal to or greater than the specified threshold, And generating an event for authentication success.

According to another aspect of the present invention, an electronic device capable of performing biometric-based authentication includes: a memory that stores registration information on an authentication target; A user interface unit for providing a user interface for setting a security level for an application performing biometric authentication based authentication; And control to record at least a part of the first biometrics information as the registration information if the quality level of the first biometrics information acquired from the authentication object is equal to or higher than a predetermined first quality level, A match score indicating a degree of quality of the second biometric information acquired from the authentication object is equal to or higher than a preset second quality level and the second biometric information matches the registration information, And a control unit for generating an event for authentication success if the predetermined threshold is not exceeded.

The criterion for evaluating the quality level of the biometric information is differently set in the registration mode and the authentication mode so that the reliability of the quality of the biometric information stored as the registration information is secured while improving the usability .

Further, by providing a user interface for specifying a security level and performing biometric authentication based on a specified security level, it is possible to provide a convenience in which a user can set a security level according to the use environment or purpose of use of the electronic device .

Further, when the predetermined condition is satisfied, the registration information is controlled to be updated using the new biometric information, so that the registration information is maintained at a high quality and the usability is efficiently improved.

1 is an exemplary view showing an electronic device according to an aspect of the present invention;
2 is an exemplary view showing an electronic device according to another aspect of the present invention;
3 is an exemplary view showing an electronic device according to yet another aspect of the present invention;
4 is an exemplary view showing an electronic device according to an aspect of the present invention in more detail;
5 is an exemplary view for explaining the control unit in more detail in an electronic device according to an aspect of the present invention;
6 is an exemplary view showing a structure of an electronic device for sensing an authentication object according to an aspect of the present invention;
7A is another example of a structure of an electronic device for sensing an authentication object according to an aspect of the present invention;
FIG. 7B is an exemplary view showing that an authentication object is sensed through an electronic device according to an aspect of the present invention shown in FIG. 7A; FIG.
8 is an exemplary view for explaining a criterion for evaluating the quality of sensing data according to an aspect of the present invention;
9 is an exemplary view for explaining feature information according to an aspect of the present invention;
FIG. 10 is a conceptual diagram for explaining an operation for determining whether authentication is successful by checking whether feature information according to an aspect of the present invention matches registration information; FIG.
11 is an example of a graph showing a probability density for explaining a match score threshold according to an aspect of the present invention;
FIG. 12 is a conceptual diagram showing a match result of feature information and registration information corresponding to various sensing data according to an aspect of the present invention; FIG.
13 is a conceptual diagram illustrating an operation for updating registration information according to an aspect of the present invention;
14 is an example of a graph for explaining preset conditions for updating registration information according to an aspect of the present invention;
FIGS. 15A, 15B, 15C, and 15D are exemplary views illustrating a user interface for setting a security level according to an aspect of the present invention;
16 is a flowchart illustrating a biometric-based authentication method according to an aspect of the present invention;
17 is a flowchart illustrating a biometric-based authentication method according to another aspect of the present invention;
18 is a flowchart illustrating a biometric-based authentication method according to yet another aspect of the present invention;
Figure 19 is another flow chart illustrating a biometric-based authentication method according to yet another aspect of the present invention;
20A and 20B are flowcharts illustrating a biometric-based authentication method according to an aspect of the present invention in more detail.

Hereinafter, the method of making and using the present invention will be described in detail. The terms " part, "" module, " and the like, as used herein, refer to a unit that processes at least one function or operation, and may be implemented in hardware or software or a combination of hardware and software.

The electronic device according to an embodiment of the present invention may be implemented in various forms. For example, the electronic device described herein may include various devices composed of a portable terminal, a computer, a memory, a controller, and the like. Portable terminals include mobile phones, smart phones, laptop computers, tablet PCs, e-book terminals, digital broadcasting terminals, PDAs (personal digital assistants), portable multimedia players (PMPs) , A wearable PC, a wrist-watch phone, and the like, but the present invention is not limited thereto.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly explain the present invention in the drawings, parts not related to the description are omitted, and similar or identical parts are denoted by the same reference numerals throughout the specification.

An electronic device capable of performing biometric-based authentication according to an aspect of the present invention can sense an authentication object. The authentication object may include a behavior of the user, at least a part of the user's body or body, and the like. For example, the authentication target may be a physiological characteristic such as a user's fingerprint, fingerprint, blood vessel pattern, retina pattern, iris pattern, ear shape, face shape or DNA (DeoxyriboNucleic Acid) base sequence. In addition, there may be behavioral characteristics such as handwriting (or signature), voice, or gait of the user as an object of authentication.

The electronic device may include a sensor unit for sensing an authentication object. Depending on the authentication object, the sensor unit may include various biometric sensors. For example, the sensor unit may include a fingerprint recognition sensor, a retina recognition sensor, an iris recognition sensor, and the like. The sensor unit may include a camera for face recognition or iris recognition, and an optical sensor such as an infrared sensor. In addition, the sensor unit may include a pressure sensitive sensor or a touch panel for detecting the handwriting. Here, the pressure-reducing sensor or the touch panel may be omitted from the sensor unit and included in the user interface unit of the electronic device. For example, the touch panel and the display module included in the user interface unit are combined to form a touch screen, and the user's handwriting can be sensed through the touch screen. In addition, the sensor unit may include a motion sensor or a camera for detecting a behavioral characteristic.

Further, the electronic device may omit the sensor portion, and the electronic device may receive the sensing data transmitted from a sensor located outside the electronic device or a separate device. The electronic device may use the sensing data to perform a registration or authentication procedure for biometric-based authentication.

Hereinafter, an electronic device according to an embodiment of the present invention will be described in more detail with reference to FIG. 1 to FIG.

1 is an exemplary view showing an electronic device according to an aspect of the present invention.

The electronic device 100 may include a memory 110, a sensor unit 120, and a control unit 130.

The memory 110 may store a preset first quality level and a preset second quality level.

The preset first quality level includes at least one of a preset registration sensitivity data quality level for evaluating the quality level for the sensing data in the registration mode and a preset registration feature information quality level for evaluating the quality level for the feature information can do.

The predetermined second quality level includes at least one of a preset authentication sensing data quality level for evaluating the quality level for the sensing data in the authentication mode and a preset authentication characteristic information quality level for evaluating the quality level for the characteristic information can do.

The sensor unit 120 can acquire sensing data by sensing the authentication object. The authentication target may be a user's fingerprint, fingerprint, blood vessel pattern, retina pattern, iris pattern, ear shape, face shape, DNA sequence, handwriting (or signature), voice or gait. The sensor unit 120 may include an optical sensor such as a fingerprint recognition sensor, a retina recognition sensor, an iris recognition sensor, a camera and an infrared sensor, a decompression sensor, a motion sensor, or the like, depending on an object to be authenticated.

The control unit 130 can calculate the feature information based on the sensing data. In addition, the controller 130 may acquire corrected sensing data by correcting the sensing data. When the corrected sensing data is obtained, the control unit 130 can calculate the feature information based on the corrected sensing data.

In the registration mode, the control unit 130 can control the feature information to be recorded in the memory 110 as registration information for the authentication object if the quality level of the biometric information is equal to or higher than a preset first quality level.

Here, the biometric information may include at least one of sensing data and characteristic information. The sensing data included in the biometric information may include at least one of sensing data obtained by the sensor unit 120 and corrected sensing data obtained by correcting the sensing data received from the sensor unit 120 by the control unit 130 . The quality level of the biometric information may include at least one of a quality level for the sensed data and a quality level for the characteristic information.

In the authentication mode, the controller 130 can confirm whether the feature information matches the registration information if the quality level of the biometric information is equal to or higher than a preset second quality level.

Here, the predetermined first quality level in the registration mode and the predetermined second quality level in the authentication mode may be different from each other. For example, the predetermined first quality level may be higher than the preset second quality level. The preset first quality level is higher than the preset second quality level, the pre-set registration sensing data quality level is equal to or higher than a preset authentication sensing data quality level, or the preset registration feature information quality level is higher than a preset authentication characteristic information quality level Or more.

When the quality level of the biometric information includes the quality level of the sensing data, the quality level of the sensing data is lower than the preset registration sensitivity data quality level belonging to the preset first quality level, The control unit 130 may omit calculation of the feature information and control the provision of a user interface requesting acquisition of new sensing data.

If the quality level of the biometric information is lower than a preset first quality level in the registration mode, the control unit 130 controls the user interface to provide at least one of feedback for registration failure and acquisition of new sensing data .

For example, feedback on registration failure may be displayed as " failed to register user information " or may be fed back to sound such as voice or sound effect. The user interface for acquiring new sensing data may include a user who inquires whether the biometrics recognition for user information registration is retried or a visual or auditory user for acquiring sensing data from the user at the sensor unit 120 of the electronic device 100 It may be to provide a guide. For example, the user interface may be indicative of a location of the fingerprint sensor of the electronic device 100 for fingerprint recognition or a guide to the user's gesture to the fingerprint sensor.

If the quality level of the biometric information is lower than a predetermined second quality level in the authentication mode, the control unit 130 controls the user interface to provide at least one of feedback for authentication failure and acquisition of new sensing data .

For example, there may be visual or auditory feedback " user authentication failed " as feedback on authentication failure. The user interface for acquiring new sensing data may be to ask whether biometrics for user authentication is retried or to provide a user guide for biometrics as described above.

In addition, the electronic device 100 may further include a user interface unit (not shown) for providing a user interface for feedback of registration failure or authentication failure, or acquisition of new sensing data.

2 is an exemplary view showing an electronic device according to another aspect of the present invention.

The electronic device 100 may include a memory 110, a sensor unit 120, a control unit 130, and a user interface unit 140.

The memory 110 may store registration information for an authentication target. The registration information may include at least one feature information template.

The user interface unit 140 may provide a user interface for setting a security level for an application that performs biometric authentication. For example, the application may include at least one of a screen lock application and a financial application.

The sensor unit 120 can acquire sensing data by sensing the authentication object.

The control unit 130 may designate a threshold (or a match score threshold) according to the security level set through the user interface. The memory 110 may store a mapping table of a threshold corresponding to at least one security level, or a function indicating a relationship between a security level and a threshold. The controller 130 may designate a threshold value corresponding to the set security level using a mapping table or a function.

The control unit 130 can calculate the feature information based on the sensing data. In addition, the controller 130 may acquire corrected sensing data by correcting the sensing data. When the corrected sensing data is obtained, the control unit 130 can calculate the feature information based on the corrected sensing data.

If the match score indicating the degree to which the feature information matches the registration information is equal to or greater than a specified threshold value, the control unit 130 can generate an event for authentication success. For example, if the feature information is acquired through fingerprint recognition, the match score may be the number of feature points matched with each other in the minutiae of the feature information and the minima of the registration information, As shown in Fig.

In addition, when the security level set through the user interface is high, the controller 130 can designate a first threshold value for lowering the acceptance rate (FAR) for another authentication target. The control unit 130 may designate a second threshold value for lowering the false rejection rate (FRR) for the authentication target when the security level set through the user interface is low.

The control unit 130 controls the accumulation of match scores indicating the degree to which the feature information is matched with the registration information to be accumulated and stored so that registration information is updated using the feature information if the accumulated match score satisfies a preset condition Can be controlled. The control unit 130 may control to accumulate and store authentication scores having a match score equal to or greater than a preset threshold value. For example, the predetermined condition may be that the cumulative authentication score for the authentication subject is gradually lowered, and is equal to or close to a predetermined threshold value. In addition, the preset condition may include a case where the correlation between the feature information and the feature information stored when the latest authentication is successful is greater than a predetermined value. In addition, the controller 130 may control the number of times each of the authentication failure and the authentication success, or the authentication success rate according to the authentication attempt, and the like are stored. It is also to be understood by those of ordinary skill in the art that the preset conditions may be configured in various forms by the manufacturer or user of the electronic device 100, including those described above.

If the quality of the feature information is higher than the quality of at least one feature information template included in the registration information, the control unit 130 may control the registration information to be updated by controlling the feature information to be stored as a new feature information template.

In addition, when the authentication object is the child, the control unit 130 may control the registration information to be updated periodically using the feature information. In the case of children, the registration information is periodically updated according to the growing situation, so that the reliability of the registration information and the authentication success rate for the same user can be maintained at a certain level or more. When the number of update times using the feature information exceeds a predetermined number, the control unit 130 stops the addition of the feature information template included in the registration information on the authentication target, thereby limiting the update of the registration information can do. It should be understood by those skilled in the art that the update period or the number of updates and the like can be set to various values by the use environment, the manufacturer or the user. For example, the update period can be set considering the occupation or age of the user.

Extend Enrollment (hereinafter, referred to as 'EEM') method in which a predetermined number of feature information templates can be registered as registration information included in the memory 110 can be operated. If the predetermined condition is satisfied, the control unit 130 can control the registration information to be updated using the feature information in the authentication mode as described above. If the predetermined condition is satisfied, the control unit 130 enters the registration mode, controls the user interface to provide new sensing data, and updates the registration information using the new feature information acquired in the registration mode Control. The control unit 130 can increase the number of existing at least one feature information template included in the registration information by adding a new feature information template to the registration information. In addition, the control unit 130 may update the registration information by replacing at least one of the existing at least one feature information template included in the registration information with a new feature information template.

3 is an exemplary view showing an electronic device according to yet another aspect of the present invention.

The electronic device 100 may include a memory 110, a control unit 130, and a user interface unit 140.

The memory 110 may store registration information for an authentication target.

The user interface unit 140 may provide a user interface for setting a security level for an application that performs biometric authentication.

The control unit 130 can control so that at least a part of the first biometric information is recorded as registration information when the quality level of the first biometric information acquired from the authentication subject is equal to or higher than a predetermined first quality level.

The control unit 130 may designate a threshold value according to the security level set through the user interface.

If the match score indicating the degree of quality of the second biometric information acquired from the authentication object is equal to or higher than a predetermined second quality level and the degree of matching of the second biometric information with the registration information is equal to or greater than the predetermined threshold, ≪ / RTI >

The predetermined first quality level is for evaluating the quality level of the first biometric information in the registration mode and the predetermined second quality level is for evaluating the quality level of the second biometric information in the authentication mode. The predetermined first quality level and the preset second quality level may be different. For example, when the preset first quality level is higher than the predetermined second quality level, the authenticity of the biometric information stored as the registration information is secured, .

The electronic device according to one embodiment of the present invention described above with reference to Figs. 1 to 3 is characterized in that at least some of the configurations illustrated in Figs. 1-3 are coupled to each other, or at least some of the illustrated configurations are modified or omitted It should be noted that there is a possibility.

Hereinafter, an electronic device according to one aspect of the present invention will be described in more detail with reference to FIG. In addition, for the sake of specific understanding, the case where the authentication subject is the fingerprint of the user is described as an example. Duplicate description and the like of the components described in Figs. 1 to 3 may be omitted.

4 is an exemplary view showing an electronic device according to an aspect of the present invention in more detail;

The electronic device 100 may include a memory 110, a sensor unit 120, and a control unit 130. In addition, the electronic device 100 may further include a user interface unit 140.

In addition, the sensor unit 120 may be omitted from the electronic device 100. When the sensor unit 120 is omitted, the electronic device 100 may acquire sensing data by receiving sensing data transmitted from a sensor located outside the electronic device 100 or a separate device.

In addition, the electronic device 100 may further include a power supply unit 150 or a communication unit 160.

The memory 110 may store registration information 111, a preset first quality level 112, a preset second quality level 113, or a match score threshold (hereinafter, 'threshold') 114.

The registration information 111 may include at least one feature information template.

The preset first quality level 112 may include at least one of a preset registration sensing data quality level in the registration mode and a preset registration feature information quality level.

The preset second quality level 113 may include at least one of a predetermined authentication sensing data quality level in the authentication mode and a preset authentication feature information quality level.

The threshold value 114 may be a reference value for evaluating the degree to which the feature information matches the registration information and may be preset by the manufacturer of the electronic device 100 or a provider of an application or software driven by the electronic device 100 have. In addition, the threshold value 114 may be a value designated according to a security level set through a user interface for setting a security level for an application that performs biometric authentication.

The memory 110 may store signals or data input / output corresponding to the operation of the sensor unit 120, the user interface unit 140, or the communication unit 160 under the control of the controller 130. In addition, the memory 110 may store control programs and applications for controlling the overall control of the electronic device 100 or the control unit 130, and the like.

The memory 110 may include a ROM, a RAM or a memory card (for example, an SD card, a memory stick, etc.) mounted on the electronic device 100 in the controller 130. The memory 110 may include non-volatile memory, volatile memory, a hard disk drive (HDD), or a solid state drive (SSD).

In addition, the memory 110 may include not only applications that perform biometric authentication, but also various applications such as navigation, games, and the like, images for providing a graphical user interface (GUI) (Such as a menu screen, an idle screen, etc.) or operating programs necessary to drive the electronic device 100, a database or data associated with a method for processing the touch input, Data and the like can be stored.

The memory 110 may also include a medium readable by a machine (e.g., a computer). The memory 110 may access information from a machine-readable medium under control of the controller 130, and may store the accessed information. The machine-readable medium may be a medium that provides data to the machine so that the machine can perform a particular function. For example, the machine readable medium may be a storage medium. The machine-readable medium may be a floppy disk, a flexible disk, a hard disk, a magnetic tape, a compact disc read-only memory (CD-ROM), an optical disk, a punch card ), At least one of a paper tape, a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), and a flash-EPROM Do not.

The sensor unit 130 can acquire sensing data by sensing the authentication object. The sensor unit 130 may include a fingerprint recognition sensor 121, a camera 122, or an illuminance sensor 123. The biometric sensor may include a fingerprint recognition sensor 121 such as a retina recognition sensor, an iris recognition sensor, an optical sensor, a pressure reduction sensor, or a motion sensor, but the fingerprint recognition sensor 121 will be described in detail.

The fingerprint recognition sensor 121 may be an input image device for acquiring a fingerprint image (or image information of a fingerprint) indicating a characteristic difference inherent to each user. The sensing data for the fingerprint image may be obtained by optical, semiconductor, ultrasonic or non-contact methods.

For example, the optical fingerprint sensor may include a prism, a light source, a lens, or a charge-coupled device (CCD). In an optical sensor, when a fingerprint is in contact with a prism, a light source irradiates the prism, a lens collects light reflected through the prism, and a CCD can acquire the collected light as a fingerprint image.

As the semiconductor type fingerprint recognition sensor, there may be a hot sensation sensor, a capacitive sensor or an electric decorative sensor. Semiconductor fingerprint sensors can be miniaturized and can be used in personal applications. The thermal sensor may be a fingerprint sensor in which the temperature distribution is obtained as a fingerprint image due to the temperature difference between the contact area of the fingerprint and the non-contact area. The capacitive sensor may be a fingerprint sensor that acquires the difference in the amount of charge or capacitance between the ridges of the touched fingerprints in a fingerprint image. The electric sensor may be a fingerprint sensor that is adapted to acquire fingerprint image information from a fingerprint or an electric field formed around the fingerprint.

The fingerprint recognition sensor is a hardware module that controls the operation of the fingerprint recognition sensor 120 included in the sensor unit 120 by loading a software module for fingerprint recognition included in the memory 110 into a task of the control unit 130. [ Or a functional module comprising a software module. The fingerprint recognition sensor as a functional module may be a software module for fingerprint recognition, at least a part of the control part 130, or a fingerprint recognition sensor 121. [ Further, the fingerprint recognition sensor as the functional module may perform not only the operation of acquiring the sensing data, but also the operation of correcting the sensing data or calculating the characteristic information based on the sensing data.

The camera 122 may photograph the periphery of the electronic device 100 or the user. The camera 122 may include a lens system and an image sensor that capture a still image or a moving image under the control of the control unit 130. [ In addition, a plurality of cameras may be disposed on the front and back sides of the electronic device 100. The camera 122 converts an optical signal input through the lens system into an electrical image signal and transmits the electrical signal to the controller 130 or the display module 141 of the user interface unit 140.

The light intensity sensor 123 can detect the amount of light around the electronic device 100. [

The sensor unit 120 further includes a motion sensor (not shown) for detecting the operation of the electronic device 100 (for example, rotation of the electronic device 100, acceleration or vibration applied to the electronic device 100) . The motion sensor may be a gyro sensor or an acceleration sensor.

The sensor unit 120 may include a proximity sensor that detects whether a user approaches the electronic device 100 or a geomagnetic sensor that detects a point of the compass using a geomagnetic field, And the like. The GPS module receives the radio waves from a plurality of GPS satellites (not shown) on the earth orbit and uses the time of arrival from the GPS satellites to the electronic device 100 to determine the position of the electronic device 100 Can be calculated.

The user interface unit 140 may include a display module 141, a touch panel 142, a button 143, or the like.

The user interface unit 140 may provide a user interface for setting a security level for an application that performs biometric authentication.

In addition, the user interface unit 140 may provide a location indication of the fingerprint recognition sensor of the electronic device 100 for fingerprint recognition or a guide to the user's gesture to the fingerprint recognition sensor.

If the quality level of the biometric information is lower than the preset first quality level 112 in the registration mode, the user interface unit 140 may provide a user interface (UI) for at least one of acquisition of new sensing data, Can be provided.

If the quality level of the biometric information is lower than the preset second quality level 113 in the authentication mode, the user interface unit 140 may provide a user interface (UI) for at least one of feedback of authentication failure and acquisition of new sensing data Can be provided.

The display module 141 may be a liquid crystal display (LCD), a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, A display (3D display), and an electrophoretic display (electrophoretic display).

The touch panel 142 may be implemented by a resistive method, a capacitive method, an electromagnetic induction method, an EMR (Electronic Magnetic Resonance) method, an infrared method, or an acoustic wave method .

The display module 141 and the touch panel 142 may be combined to operate as a touch screen. In this case, the user interface unit 140 may further include a touch screen controller. The touch screen can receive at least one touch through a user's body (e.g., a finger including a thumb) or a touchable input unit. In addition, the touch screen may include a pen-recognition panel capable of recognizing input via a pen, such as a stylus pen or an electronic pen. In addition, the touch screen includes a panel for sensing input through a finger or an input unit through a change in induced electromotive force, a display panel, and a panel for sensing contact with a finger or an input unit through a change in resistance or capacitance, They may be formed in a structure in which they are in close contact with each other or are partially spaced apart and stacked in order. The touch screen controller may convert an analog signal received from the touch screen to a digital signal (e.g., X and Y coordinates) and transmit the converted signal to the controller 130. The controller 130 may control the touch screen using the digital signal received from the touch screen controller. In addition, the touch screen controller may be included in the control unit 130.

The button 143 may receive a button (or key) input from a user for control of the electronic device 100. The button 143 may include a physical button (or key) formed on the electronic device 100, a virtual button displayed on the touch screen, or a virtual keypad. The physical keypad formed on the electronic device 100 may be excluded in accordance with the structure of the electronic device 100. [

The power supply unit 150 may include at least one battery (not shown), a power supply circuit, or a battery charging circuit disposed in the housing of the electronic device 100 under the control of the controller 130. The power supply unit 150 may supply power to the electronic device 100. In addition, the power supply unit 150 may supply the power input from an external power source (not shown) through the wired cable connected to the connector to the configuration modules of the electronic device 100 or the battery. In addition, the power supply unit 150 may supply the power input from the external power source wirelessly to the configuration modules of the electronic device 100 through the wireless charging technology, or may control the battery to be charged.

The communication unit 160 may include a mobile communication module 161 or a local communication module 162.

The mobile communication module 161 includes standards-based communication modules such as GSM, WCDMA, HSDPA, LTE and WiMAX using technologies such as TDM, TDMA, FDM, FDMA, CDM, CDMA, OFDM, OFDMA, MIMO, can do.

The short-range communication module 162 may be a short-range communication module such as WiFi, Bluetooth, Zigbee, IrDA, RF-ID, or Near Field Communication . ≪ / RTI > The Bluetooth communication module can operate based on a Bluetooth low energy communication method or a Bluetooth Classic communication method. The Wi-Fi communication module may operate as an access point based on the IEEE 802.11 communication standard, or may form a short-range wireless LAN by connecting to an access point.

In addition, the communication unit 160 may include various communication modules such as a sound wave communication module (not shown) or a visible light communication module, and is not limited to the communication methods described above.

The control unit 130 can calculate the feature information based on the sensing data. In addition, the controller 130 may acquire corrected sensing data by correcting the sensing data. When the corrected sensing data is obtained, the control unit 130 can calculate the feature information based on the corrected sensing data.

If the biometric information quality level is equal to or higher than the preset first quality level 112 in the registration mode, the control unit 130 controls the control unit 130 such that the feature information is recorded in the memory 110 as the registration information 111 for the authentication target can do. If the quality level of the biometric information is equal to or higher than the predetermined second quality level 113 in the authentication mode, the control unit 130 can confirm whether the feature information matches the registration information 111. [

In addition, the controller 130 may designate a threshold value (or a match score threshold) 114 according to the security level set through the user interface. The control unit 130 may generate an event for authentication success if the match score indicating the degree to which the feature information matches the registration information 111 is equal to or greater than the specified threshold 114. [

In addition, the controller 130 controls to accumulate and store match scores indicating the degree to which the feature information matches the registration information 111. When the accumulated match scores satisfy predetermined conditions, (111) is updated.

The control unit 130 includes a central processing unit (CPU), a ROM in which a control program for controlling the electronic device 100 is stored, and a control unit 130 that stores signals or data input from the outside of the electronic device 100, (RAM) that is used as a storage area for operations performed in the RAM. The CPU may include a multicore such as a dual core, a quad core, or an octa core as well as a single core. The CPU, ROM and RAM may be interconnected via an internal bus or implemented in the form of a chip or module.

5 to 14, and 15A to 15D, biometric-based authentication in the electronic device 100 including the control unit 130 will be described in more detail. For example, the case where the authentication object is the fingerprint of the user is described.

The functional modules 131, 132, 133 and 135 included in the control unit 130 are configured according to the convenience of description and at least a part of the functional modules 131, 132, 133, and 135 are omitted, It should be noted that the present invention can have various forms through changes, combinations, and the like. The functional modules 131, 132, 133, and 135 may be implemented as hardware, software, or a module in which hardware and software are combined.

5, the sensor unit 120 may acquire sensing data from an authentication object in a registration mode or an authentication mode.

For example, the electronic device 100 shown in FIG. 6 may include a fingerprint recognition sensor 121 for recognizing the fingerprint 610. The fingerprint recognition sensor 121 may be mounted on at least one side of the housing of the electronic device 100. Further, the fingerprint recognition sensor 121 may have a structure combined with the button 143 of the electronic device 100. [ For example, when the electronic device 100 is a portable terminal such as a smart phone or a tablet PC, the fingerprint recognition sensor 121 is physically combined with a button 143 such as a home button, The fingerprint sensor 121 may be exposed to one side of the fingerprint sensor 610, which is in contact with the fingerprint sensor 610.

The display screen 145 of the electronic device 100 may display a user interface for fingerprint recognition according to the registration mode or the authentication mode. In one example, the user interface may be a location indicator of the fingerprint sensor of the electronic device 100 or a guide to the user's gesture to the fingerprint sensor. A user's gesture can be a touch and hold, a swipe gesture, and the like.

Also, in the electronic device 100, a screen lock application may be activated as an application for performing biometric authentication, and a lock image may be displayed on the display screen 145 of the electronic device 100 in a screen locked state. If the fingerprint recognition based authentication result of the user is authentication success, the screen lock state of the electronic device 100 may be released.

In addition, in the electronic device 100 illustrated in Fig. 7A, the fingerprint recognition sensor 121 indicates that the electronic device 100 is positioned around the line where the rear surface and the top surface meet. The fingerprint recognition sensor 121 may be mounted regardless of the position of the button 143. The fingerprint recognition sensor 121 may be mounted on the button 143 and the fingerprint recognition sensor 121 in consideration of usage habits, The recognition sensor 121 may be mounted adjacently. 7B shows that the user gestures the fingerprint 610 to be detected on the fingerprint sensor 121 of the electronic device 100 illustrated in Fig. 7A.

The fingerprint recognition sensor 121 can sense the fingerprint 610 of the user and acquire the fingerprint image as the sensing data.

5, the functional module 131 of the control unit 130 may receive sensing data from the sensor unit 120. [ The functional module 131 can obtain the corrected sensing data by correcting the sensing data. For example, if the functional module 131 determines that the fingerprint image has a distorted shape or has a region with a low resolution, the distorted shape or resolution may be corrected using statistical data or an image processing function within a correctable range The image processing can be performed so that the low region is corrected (or restored).

In addition, the operation of acquiring the corrected sensing data by correcting the sensing data in the functional module 131 may be omitted. In this case, the quality level of the sensing data can be evaluated based on that acquired by the sensor unit 120. [

The functional module 131 may evaluate the quality level of the (corrected) sensing data based on a preset first quality level 112 or a preset second quality level 113. [

The sensing data obtained by the sensor unit 120 and the sensing data obtained by the functional module 131 are used for the evaluation of the quality level in the functional module 131 and the functional module 132, And at least one of corrected sensing data obtained by correcting the sensing data received from the sensor unit 120. For the convenience of explanation, the (corrected) sensing data may be represented by sensing data.

For example, the quality level of the (corrected) sensed data may be based on at least one of an area size, a degree of distortion, an offset, and a rotation angle for an image (e.g., a (corrected) fingerprint image) It can be calculated. Referring to FIG. 8, the fingerprint image 810 is one example of good quality, and the fingerprint images 821, 823, 825, and 827 are examples of poor quality. When the fingerprint image 621 is detected using the swipe gesture in the fingerprint recognition sensor 121, the fingerprint image 821 indicates that the area size of the image is small and the fingerprint image 823 indicates that the speed of the swipe gesture is fast And the fingerprint image 825 indicates that the fingerprint image sensor 82 has been detected when the fingerprint 610 touches or touches the fingerprint sensor 121 lightly, It may indicate that the fingerprint sensor 610 is detected in a state in which the fingerprint sensor 610 is in strong contact with the sensor 121. [ For example, a weight is assigned to an item having an area size that greatly affects the number of feature points in a minuscule obtained from a fingerprint image, and a low weight is assigned to an item such as an offset or a rotation angle, The quality level for the fingerprint image can be obtained.

The functional module 131 is configured to request acquisition of new sensing data if the quality level of the (corrected) sensing data is lower than a preset registration sensing data quality level belonging to the first quality level 112, To be provided with a user interface.

If the quality level of the (corrected) sensing data is lower than the predetermined authentication sensing data quality level belonging to the second quality level 113 that is set in advance in the authentication mode, the functional module 131 acquires new sensing data Or a user interface requesting re-authentication is provided.

The preset authentication sensing data quality level in the electronic device 100 may be set to be lower than a predetermined registration sensing data quality level. If the quality level of the specific sensing data is equal to or higher than a predetermined level of the authentication sensing data quality and lower than a preset registration sensing data quality level, the functional module 131 requests the specific sensing data to acquire new sensing data in the registration mode The user interface is controlled to be provided, and in the authentication mode, the (corrected) sensing data can be controlled to be used in the functional module 132 without re-authentication request.

The functional module 132 may determine that the (corrected) sensing data is based on the (registered) sensing data quality level if the quality level of the (corrected) sensing data is greater than or equal to the registered sensing data quality level preset in the registration mode, The feature information can be calculated.

For example, in the fingerprint image shown in FIG. 9, the feature information may be a minutiae representing at least one feature point. The minuisher may include minutiae representing a bifurcation point 910, an end point 920, a center point 930, and a delta 940. In addition, the minutia may include feature points representing the orientation or shape of the valleys 950 between ridges and ridges.

In the functional module 133 to be described later, the feature information may be calculated in an information format of a predetermined format (or frame) to check the degree of matching with the registration information 111. [ Feature information having an information format of a preset format may be a feature information template.

The functional module 132 may evaluate the quality level of the feature information based on a preset first quality level 112 or a preset second quality level 113. [

For example, the quality level for feature information is calculated based on at least one of the presence of at least one of the diverging point 910, the ending point 920, the central point 930, and the delta 940 and the number of feature points in Minju Lt; / RTI >

Also, in the registration mode, if the quality level of the feature information is lower than a preset registered feature information quality level belonging to the first quality level 112 that is set in advance, the functional module 132 may determine that the user requesting acquisition of new sensing data The interface can be controlled to be provided.

In the authentication mode, if the quality level of the feature information is lower than a preset authentication feature information quality level belonging to the preset second quality level 113, the functional module 132 may request acquisition of new sensing data, A user interface requesting authentication can be provided.

The authentication feature information quality level preset in the electronic device 100 may be set to be lower than a preset registration feature information quality level.

The functional module 132 can control the feature information to be recorded in the memory 110 as the registration information 111 for the authentication target when the quality level of the feature information is equal to or higher than the preset registered feature information quality level in the registration mode have.

Also, in the authentication mode, the functional module 132 can control that the feature information is processed in the functional module 133 if the quality level of the feature information is equal to or higher than a preset authentication feature information quality level.

The functional module 133 can determine whether the feature information matches the registration information 111 if the quality level of the feature information is equal to or higher than a preset authentication feature information quality level.

For example, referring to FIG. 10, feature information (a) calculated from a fingerprint image may include minischer. The minuisher may be represented by a feature information template 1010 having an information format of a predetermined format, and the illustrated feature information template 1010 may be conceptually schematized information on the feature points.

The functional module 133 may compare the feature information a (or the feature information template 1010) calculated in the functional module 132 with at least one registered feature information template 1020 (b). The registered at least one feature information template 1020 may be included in the registration information 111 or may be stored as the registration information 111. [

The functional module 133 may perform the matching (c) on the feature information template 1010 and the registered at least one feature information template 1020 to derive a match score. The match score may indicate the degree to which the feature information matches the registration information. For example, the match score includes a number of feature points that are determined to correspond to each other (or match each other) out of the feature points included in the feature information template 1010 and the at least one feature information template 1020 Or may be calculated on the basis of a value indicating the degree of correspondence with each other. For example, the degree of correspondence with each other may be a value derived from statistical data or a stochastic function in consideration of the distance between the minutiae determined to correspond from the reference point, the similarity of the arrangement of minutiae, and the like.

The functional module 133 may compare the derived match score with a threshold value (or a match score threshold) 114 to determine whether the authentication is successful (d). For example, the functional module 133 may generate an event for authentication success if the match score is equal to or greater than the threshold 114. For example, the screen lock state may be released as an event for authentication success in the screen lock state in the electronic device 100 of FIG.

The threshold 114 may be preset by the manufacturer of the electronic device 100, an application installed on the electronic device 100, or a provider of the operating system. In addition, the threshold 114 may be one specified according to the security level set through the user interface.

15A, 15B, 15C, and 15D, an example of a user interface for setting a security level will be described.

Referring to FIG. 15A, when fingerprint recognition is used in biometrics in the electronic device 100, a display screen of the display module 141 may display a user interface 1510 for setting a security level for fingerprint recognition . The user interface 1510 may include a system default setting maintenance item 1511 or a user setting item 1513. The system default setting maintenance item 1511 may be a setting for maintaining a default security level preset by a manufacturer or an application provider of the electronic device 100 for an application that performs biometric authentication based authentication in the electronic device 100. [ The user setting item 1513 may be for providing a function for the user of the electronic device 100 to select or change the security level. The system default setting hold item 1511 or the user setting item 1513 may be specified according to a user's input to an interaction object such as a check box 1512 or 1514 or a radio button.

Referring to FIG. 15B, when the user setting item 1513 is selected in FIG. 15A, the display screen of the display module 141 may display a user interface 1520 that can change the security level according to user settings. The user interface 1520 may include the same security level application item 1521 for each related application or a security level setting item 1532 for each related application. The user interface 1520 may provide interaction objects such as check boxes 1522 and 1532 or radio buttons or the like to receive the user's input to the items 1521 and 1532. [

When an item 1521 is specified through a check box 1522, an interaction object providing a function to allow the associated applications performing biometric-based authentication to be applied the same security level according to the user input 1540 (1523) may be provided. As the interaction object 1523, there may be a slide bar as shown in FIG. 15B, an object for selecting from among a plurality of security levels such as a check box and a radio button, or an object for directly inputting a corresponding value. For example, in accordance with user input 1540 for interaction object 1523, the security level located at the base level corresponding to the system default setting can be changed to a lower security level or a higher security level.

15B, when item 1531 is designated through check box 1532, user interface 1520 includes items 1533 and 1535 for related applications that perform biometric-based authentication, Can be provided. Related applications may include a screen lock application or a financial application.

The ability to perform biometric-based authentication in related applications may be designed by the respective application provider of the associated applications, and may be programmed to perform biometric-based authentication in each application itself. In addition, the function of performing biometric-based authentication in related applications is not a function supported by the related applications themselves but a separate application for performing biometric-based authentication, an OS (Operating System), a platform or an electronic device 100 ) As a system function for controlling or managing the system. For example, a system function for biometric-based authentication includes a function for allowing a designated application to be run on the electronic device 100, or a condition for a function designated in a specific application to be operated, There may be a function of requesting biometric authentication based on authentication before operation and determining that the authentication is successful if authentication is successful. For example, when a user input for an icon for driving an application specified in the electronic device 100 is received, biometric-based authentication may be required as a condition for running the designated application. In addition, if the biometric authentication based authentication is successful with the system function, a function may be provided to control the operation of the designated application or the designated function to be operated as an event for authentication success.

15D, if the screen lock application item 1533 of the items 1533 and 1535 for the related applications is designated in FIG. 15C, the user interface 1520 displays the user input 1540 for the screen lock application, An interaction object 1534 may be provided that provides a function that allows a specified security level to be applied. In one example, the interaction object 1534 may be a slide bar.

The memory 110 may store a mapping table of a threshold corresponding to at least one security level, or a function indicating a relationship between a security level and a threshold. The controller 130 may designate a threshold value corresponding to the set security level using a mapping table or a function.

Referring to FIG. 11, a threshold (or a match score threshold) 114 is described through an example of a graph showing a probability density.

11, the x-axis represents the match score and the y-axis represents the probability. In the authentication mode, if the match score for the authentication subject is greater than the threshold 114, authentication is successful, and if the match score is less than the threshold 114, authentication failure.

The curve 1131 is a graph showing a probability density for a false acceptance rate (FAR) for another authentication object. A curve 1133 is a graph showing probability density with respect to a false rejection rate (FRR) for an authentication target.

When the threshold value 114 is located as shown by the dotted line, the rightward direction of the dotted line indicated by the threshold 114 in the curve 1131 (the direction in which the match score increases) 1123 (from the match score corresponding to the threshold value 114) , It is possible to integrate the probability value of the curve 1131 to the FAR 1143 in the interval up to the match score.

Further, in the interval from the match score corresponding to the start of the leftward direction of the dotted line indicated by the threshold 114 in the curve 1133 (the direction in which the match score becomes smaller) 1121 to the match score corresponding to the threshold 114, It may be the FRR 1141 that the probability of the curve 1133 is integrated.

For example, the control unit 130 designates the threshold value to designate a first threshold value for lowering the FAR 1143 when the security level set through the user interface is high. If the threshold 114 is a value corresponding to the system default security level, the first threshold may be a value located in the right direction of the dotted line (the direction in which the match score grows) 1123. In addition, the first threshold may be such that the FRR 1141 is higher.

In addition, the control unit 130 designates the threshold value to designate a second threshold value for lowering the FRR 1141 when the security level set through the user interface is low. If the threshold 114 is a value corresponding to the system default security level, the second threshold may be a value located in the left direction of the dotted line (the direction in which the match score is reduced) 1121. In addition, the second threshold may be such that the FAR 1143 is higher.

Referring to Fig. 12, an example of the match score obtained in the functional module 1133 of the control unit 130 in Fig. 5 will be described.

Fingerprint image 1210 may correspond to one of at least one feature information template registered as registration information 111. [ The feature information may be obtained through the fingerprint image 1210 and the obtained feature information may be recorded in the memory 110 as the feature information template of the registration information 111. [

For example, the registration information 111 may include a feature information template obtained from a fingerprint image (hereinafter referred to as a 'good image') having a certain level of quality or more in the registration mode. As an example, there may be four feature information templates obtained from the four good images as the registration information 111. The quality level of the feature information (or the feature information template) may be calculated from minutiae points in the minuisher. For example, the quality level of the feature information template may be a number of feature points, and the number of feature points may be defined as a minuisher value. It can be assumed that the minuisher values 1215 for the four feature information templates are {68, 68, 68, 68}.

Assuming that the minutia value obtained from the fingerprint image 1220 is 68 in the authentication mode, the feature information for the fingerprint image 1220 and the match result 1225 for each registered feature information template are {9, 7 , 4, 16}. For example, each of the values indicated by the match result 1225 may be the number of feature points that are determined to correspond to (or match with) the feature information to be compared and the feature information template. Further, the match score for the match result 1225 can be calculated based on various calculation methods or functions, such as the sum, average, maximum value, minimum value, intermediate value, or variance of the values belonging to the match result 1225. [ For convenience of explanation, the match score for the match result 1225 may be assumed to be 36, which is the sum of the values belonging to the match result 1225. [

In addition, the minutia value for the fingerprint image 1230 is 68, and the feature information for the fingerprint image 1230 and the match result 1235 for each registered feature information template are {15, 20, 8, 7} . The match score for the match result 1235 may be 50.

In addition, the minutia value for the fingerprint image 1240 is 68, and the feature information for the fingerprint image 1240 and the match result 1245 for each registered feature information template are {7, 6, 5, 7} . The match score for the match result 1245 may be 25.

In FIG. 5, the functional module 133 of the controller 130 may determine whether the authentication result for each of the match results 1225, 1235, and 1245 is success based on the threshold 114. FIG. For example, when the threshold 114 is assumed to be 50, the authentication target corresponding to the feature information having a match score of 50 or more may be authentication succeeded. In this case, the authentication result for the match result 1235 in the match results 1225, 1235, and 1245 may be determined to be successful. It is also assumed that the threshold 114 is set to 25 when the security level is set to be lower according to user input in the electronic device 100. [ In this case, authentication success can be determined for each of the match results 1225, 1235, and 1245.

Also, the registration information 111 of the memory 110 may be operated in the EEM mode.

For example, referring to FIG. 13, in the case of the initial registration (a), the number of feature information (or 'feature template') 1311 The electronic device 100 can acquire eight feature information templates 1310 from the authentication subject in the registration mode. Four good templates among the eight feature information templates 1310 can be stored as the registration information 111. [ Here, the good template 1311 may be a feature information template (or feature information) having a quality higher than a preset first quality level 112. For example, the quality level of the good template 1311 may be equal to or higher than the registered feature information quality level, or the fingerprint image corresponding to the good template 1311 may be equal to or higher than the predetermined registration sensing data quality level.

In FIG. 5, the functional module 135 of the controller 130 may determine whether a predetermined condition for updating the registration information 111 is satisfied. If the predetermined condition is satisfied, the functional module 135 can control the registration information 111 to be updated.

For example, in FIG. 13, when the registration information 111 is updated by the EEM method, four new good templates including a new good template 1321 may be added to the registration information 111. FIG. As the registration information 111, eight specific information templates can be stored. Until the four good templates are stored in the registration information 111, the electronic device 100 can acquire eight new feature information templates 1320 from the authentication subject.

Herein, the new feature information templates 1320 are acquired by controlling the functional module 135 of the control unit 130 to operate in the registration mode when the predetermined condition is satisfied, or when the authentication is successful in the authentication mode Feature information templates. If the new feature information templates 1320 are obtained in the authentication mode, the update of the registration information 111 may not be displayed to the user but operated in the background.

Here, the new good template 1321 additionally registered in the registration information 111 may have a quality higher than the quality of at least one of the already registered good templates. In addition, the quality level of the new good template 1321 may be more than the average quality level of the registered good templates, the minimum quality or the maximum quality among the qualities of the registered good templates.

The functional module 135 of the control unit 130 may accumulate the match score and store the match score in the memory 110 in order to determine a predetermined condition for updating the registration information 111. [ In one example, the functional module 135 may control the accumulation of authentication scores with a match score equal to or greater than a predetermined threshold.

The predetermined condition for updating the registration information 111 may include that the new feature information template is updated with the registration information 110 according to the designated time or the designated period. The electronic device 100 adds a new feature information template as the registration information 111 until the maximum number of feature information templates that can be stored in the registration information 111 is reached, If the maximum number of feature information templates is already registered, the low-quality feature information templates may be stored and replaced.

The functional module 135 of the control unit 130 can control the registration information 111 to be periodically updated using the new feature information when the authentication target is the fingerprint of the child. The functional module 135 of the control unit 130 stops the addition of the new feature information template when the number of updates using the new feature information exceeds a predetermined number of times, You can limit your updates. The control unit 130 can identify whether the authentication target is a child or an adult using the login user mode and the information of the registered user in the electronic device 100. [ For example, the electronic device 100 may be used by a plurality of users, and the electronic device 100 may have a user mode in which usage environments such as application configuration and system setting are managed for each user. The electronic device 100 may be provided with a user mode having a different use environment for each user, and may be provided with a preset mode such as a child user mode or an adult user mode in consideration of the age or usage pattern of users. For example, when the user is logged in by specifying the child user mode or the use environment is set, the control unit 130 of the electronic device 100 can determine that the authentication target is a child. The control unit 130 may analyze the sensing data (for example, the size of the fingerprint image) or the feature information obtained by the fingerprint recognition sensor 121 of the sensor unit 120 to identify whether it is a child or an adult . The control unit 130 analyzes the characteristic of the image obtained through the camera 122 of the sensor unit 120 or the characteristic of the voice data received through the microphone (not shown), and determines whether the authentication target is the child Or an adult.

For example, if the authentication target is a fingerprint of a child, the update period is set to 2 months, and four new feature information templates may be added to the registration information 111 every two months. In addition, for example, when the authentication subject is an adult fingerprint, up to four feature information templates in the case of authentication succeeded in the authentication mode after the feature information templates are stored in the registration information 111 in the registration mode, Can be limited.

The predetermined condition for updating the registration information 111 may be that the cumulative authentication score for the authentication subject gradually decreases and is equal to or close to a preset threshold value.

For example, the graph 1420 shown in FIG. 14 may be indicative of a change in the authentication score over time. Here, the time axis may be measured in units of a predetermined time, day, week, or month, or may indicate that the number of authentication attempts increases with time. For example, the maximum value of the authentication score may be 3000, and the threshold 114 may be 800. The electronic device 100 may start observing to determine if the authentication score satisfies a predetermined condition from a time point 1411 indicating 2000 or less and accumulate and store the authentication score.

The functional module 135 of the control unit 130 may be used in a time period from the viewpoint 1412 to the viewpoint 1415 for the area 1416 when the authentication score is equal to or close to the threshold 114 as the area 1416. [ May determine that the registration information 111 is updated. The time period from the time point 1412 to the time point 1415 is different from the time point 1411 at which the observation is started from a time point 1411 to a point at which the authentication score is gradually decreased from the time point 1411 to the time point 1412 The functional module 135 of the control unit 130 may determine the update of the registration information 111. In this case, For example, when the authentication score is higher than the threshold value 114 and the time interval from the time point 1412 to the time point 1413 close to the threshold value 114, the time point 1413 at which the authentication score has the same value as the threshold 114, The update of the registration information 111 can be performed in the time period from the time point 1414 to the time point 1414 or the time point 1414 from the point of time when the authentication score is lower than the threshold value 114 and close to the threshold value 114 have.

The functional module 135 of the control unit 130 determines whether or not the distribution of the authentication score in the area 1416 is due to the sensing of another authentication object temporarily. The degree of correlation between the feature information on the authentication object in the time zone and the feature information acquired from the authentication object at the time corresponding to the area 1416 can be determined. If the feature information obtained from the authentication object at the time corresponding to the authentication score of the area 1416 is greater than or equal to a certain degree of correlation with the feature information of the authentication object corresponding to the accumulated authentication score, May decide to update the registration information 111. [

Hereinafter, the apparatus for performing the biometric authentication-based authentication method described with reference to FIGS. 16 to 19, 20A, and 20B may be, for example, an electronic apparatus 100 described above with reference to FIGS. 1 to 5, have.

16 is a flowchart illustrating a biometric authentication method according to an embodiment of the present invention.

In step 1605, the electronic device 100 can acquire sensing data by sensing the authentication object. The electronic device 100 may also correct the sensing data to obtain corrected sensing data. Hereinafter, the sensing data may include the sensing data obtained by sensing the object to be authenticated and the corrected sensing data.

In step 1610, the electronic device 100 may calculate feature information based on the sensed data.

In step 1615, if the quality level of the biometric information including at least one of the sensing data and the characteristic information is equal to or higher than a preset first quality level in the registration mode, the electronic device 100 transmits the characteristic information to the authentication target It can be recorded as registration information.

In step 1620, in the authentication mode, the electronic device 100 can verify that the feature information matches the registration information if the quality level of the biometric information is equal to or higher than a preset second quality level.

Here, the preset first quality level in the registration mode and the preset second quality level in the authentication mode may be different from each other. In one example, the preset second quality level may be lower than the preset first quality level.

The preset first quality level includes at least one of a preset registration sensitivity data quality level for evaluating the quality level for the sensing data in the registration mode and a preset registration feature information quality level for evaluating the quality level for the feature information can do.

The predetermined second quality level includes at least one of a preset authentication sensing data quality level for evaluating the quality level for the sensing data in the authentication mode and a preset authentication characteristic information quality level for evaluating the quality level for the characteristic information can do.

The preset second quality level is lower than the predetermined first quality level if the predetermined authentication sensing data quality level is lower than a predetermined registration sensing data quality level or if the preset authentication characteristic information quality level is higher than a preset registered characteristic information quality level ≪ / RTI >

17 is a flowchart showing a biometric authentication method according to another aspect of the present invention.

In step 1705, the electronic device 100 may store registration information for an authentication object.

At step 1710, the electronic device 100 may provide a user interface for setting a security level for an application that performs biometric-based authentication.

In step 1715, the electronic device 100 may specify a threshold according to the security level set through the user interface.

In step 1720, the electronic device 100 may acquire sensing data by sensing the authentication object. The electronic device 100 may also correct the sensing data to obtain corrected sensing data. Hereinafter, the sensing data may include the sensing data obtained by sensing the object to be authenticated and the corrected sensing data.

In step 1725, the electronic device 100 may calculate feature information based on the sensed data.

At step 1730, the electronic device 100 may generate an event for authentication success if the match score indicating the degree to which the feature information matches the registration information is greater than or equal to a specified threshold.

18 is a flowchart illustrating a biometric-based authentication method according to yet another aspect of the present invention.

At step 1805, if the quality level of the first biometric information obtained from the authentication object is equal to or higher than the preset first quality level, the electronic device 100 transmits at least part of the first biometric information to the registration information As shown in Fig.

In step 1810, the electronic device 100 may provide a user interface for setting a security level for an application that performs biometric-based authentication.

At step 1815, the electronic device 100 may specify a threshold according to the security level set through the user interface.

In step 1820, the electronic device 100 determines whether the quality level of the second biometric information obtained from the authentication subject is equal to or higher than a predetermined second quality level and matches the second biometric information with the registration information If the score is greater than or equal to the specified threshold, an event for authentication success can be generated.

Here, the preset first quality level in the registration mode and the preset second quality level in the authentication mode may be different from each other. In one example, the predetermined first quality level may be higher than the preset second quality level.

Fig. 19 is another flowchart showing a biometric authentication method according to another aspect of the present invention.

In step 1905, the electronic device 100 may store registration information for an authentication object.

In step 1910, the electronic device 100 may acquire sensing data by sensing the authentication object. In addition, the electronic device 100 can acquire corrected sensing data by correcting the sensing data. Hereinafter, the sensing data may include the sensing data obtained by sensing the object to be authenticated and the corrected sensing data.

In step 1915, the electronic device 100 may calculate the feature information based on the sensed data.

In step 1920, the electronic device 100 may accumulate and store match scores indicating the degree to which the feature information matches the registration information. For example, storing the match scores in a cumulative manner may include accumulating and storing authentication scores whose match scores are equal to or greater than a predetermined threshold value.

In step 1925, the electronic device 100 may control the registration information to be updated using the new feature information if the accumulated match score meets a predetermined condition. The control to update the registration information may include controlling the feature information to be stored as a new feature information template if the quality of the feature information is higher than the quality of the feature information template included in the registration information.

The preset condition may be that the cumulative authentication score for the authentication subject is gradually lowered and is equal to or close to a preset threshold value.

In a case where the authentication target is a child, the electronic device 100 controls the registration information to be updated periodically using the feature information, and when the authentication target is an adult, the update count using the feature information is set in advance If the number of times is exceeded, the update of registration information can be restricted by stopping the addition of the feature information template included in the registration information on the authentication subject.

20A and 20B are flowcharts illustrating a biometric-based authentication method according to an aspect of the present invention in more detail.

In step 1205, the electronic device 100 may determine whether it entered the registration mode. If it has not entered the registration mode, the electronic device 100 may perform the operation of step 2015. [

When entering the registration mode, at step 2003, the electronic device 100 can acquire the first sensing data by sensing the authentication object. In addition, the electronic device 100 may acquire the corrected first sensing data by correcting the first sensing data. Hereinafter, the first sensing data may include the corrected first sensing data obtained by sensing the authentication object.

In step 2005, the electronic device 100 may determine whether the quality level of the first sensing data is above a predetermined registration sensing data quality level. If the quality level of the first sensing data is less than the predetermined registration sensing data quality level, then at step 2007, the electronic device 100 may provide a user interface for requesting a sensing retry to the user.

If the quality level of the first sensing data is equal to or higher than the predetermined registration sensing data quality level, then in step 2009, the electronic device 100 may calculate the first characteristic information based on the first sensing data.

In step 2011, the electronic device 100 may determine whether the quality level of the first feature information is above a preset registered feature information quality level. If the quality level of the first feature information is less than the preset registered feature information quality level, then at step 2007 the electronic device 100 may provide a user interface requesting a sensing retry to the user.

If the quality level of the first feature information is equal to or higher than the preset registered feature information quality level, then in step 2013, the electronic device 100 can record the first feature information as registration information for the authentication subject.

In step 2015, the electronic device 100 may provide a user interface for setting a security level for an application that performs biometric-based authentication.

In step 2020, the electronic device 100 may assign a threshold value depending on the security level set through the user interface. The memory of the electronic device 100 may store a mapping table of thresholds corresponding to at least one security level, or a function indicating a relationship between the security level and the threshold value. The electronic device 100 may specify a threshold corresponding to the set security level using a mapping table or a function or the like.

In step 2025, the electronic device 100 may determine whether it has entered the authentication mode. If the authentication mode has not been entered, the electronic device 100 may terminate performing the biometric-based authentication method.

When the authentication mode is entered, in step 2027, the electronic device 100 can acquire second sensing data by sensing the authentication object. The electronic device 100 may also correct the second sensing data to obtain corrected second sensing data. Hereinafter, the second sensing data may include the corrected second sensing data obtained by sensing the authentication object.

In step 2029, the electronic device 100 may determine whether the quality level of the second sensing data is above a predetermined authentication sensing data quality level. If the quality level of the second sensing data is less than the predetermined authentication sensing data quality level, then at step 2031 the electronic device 100 may provide a user interface requesting a sensing retry (or authentication retry) to the user .

If the quality level of the second sensing data is equal to or higher than the predetermined authentication sensing data quality level, then in step 2033, the electronic device 100 can calculate the second characteristic information based on the second sensing data.

In step 2035, the electronic device 100 may determine whether the quality level of the second feature information is greater than or equal to a predetermined authentication feature information quality level. If the quality level of the second feature information is less than the preset authentication feature information quality level, then at step 2031 the electronic device 100 may provide the user with a user interface requesting a sensing retry (or authentication retry) .

If the quality level of the second feature information is equal to or higher than the preset authentication feature information quality level, then in step 2037, the electronic device 100 may calculate a match score indicating the degree to which the second feature information matches the registration information.

In step 2039, the electronic device 100 may determine whether the match score is above a threshold. If the match score is below the threshold, then at step 2041 the electronic device 100 may generate an event for authentication failure.

If the match score is above the threshold, then in step 2043 the electronic device 100 may generate an event for authentication success. In addition, the electronic device 100 may accumulate and store authentication scores.

In step 2045, the electronic device 100 may determine whether the accumulated match score satisfies a predetermined condition for updating. If the accumulated match score does not meet the predetermined condition, the electronic device 100 may terminate performing the biometric-based authentication method.

If the accumulated match score meets a predetermined condition, then in step 2047 the electronic device 100 may determine whether the quality of the second feature information is higher than the quality of the at least one property template. If the quality of the second feature information is not higher than the quality of the at least one property template, the electronic device 100 may terminate performing the biometric-based authentication method.

If the quality of the second feature information is higher than the quality of at least one registration template, then in step 2049 the electronic device 100 may store the second feature information in the registration information.

20A and 20B, it should be noted that at least some of the above-described steps may be modified or omitted as an example of the method of performing biometric authentication-based authentication, or the order of the illustrated steps may be changed. For example, steps 2015 to 2020 may be provided in the registration mode, or may be provided regardless of the state of the sequence or the entered mode.

15A to 15D may be arbitrarily changed by a manufacturer of an electronic device, a provider of an application or a service provider, a user, and the like, and various user interfaces may be provided depending on convenience and purpose of use .

In addition, the operations described in the method of performing biometric authentication based authentication through Figs. 16 to 19, 20A, and 20B may be arbitrarily changed in order or omit some of the operations. In addition, the operations may be performed by a combination of some of the above-described embodiments. It is to be understood by those skilled in the art that the user interface may be modified in various forms depending on the change or omission of the operation.

It should be understood by those skilled in the art that the program for one embodiment described in FIGS. 16 to 19, 20A, and 20B can be configured as software, hardware, or a combination of software and hardware. In addition, the program for one embodiment may be recorded on a recording medium and downloaded from a server or a computer to an electronic device via a communication network.

100: electronic device 110: memory
111: registration information 112: preset first quality level
113: preset second quality level 114: match score threshold
120: sensor unit 121: fingerprint recognition sensor
122: camera 123: illuminance sensor
130: control unit 140: user interface unit
141: Display module 142: Touch panel
143: Button 150: Power supply
160: communication unit 161: mobile communication module
162: Local area communication module

Claims (21)

A biometric-based authentication method in an electronic device,
Sensing the authentication object to obtain sensing data;
Calculating feature information based on the sensing data;
Recording the feature information as registration information on the authentication object if the quality level of the biometric information including at least one of the sensing data and the characteristic information is equal to or higher than a predetermined first quality level in the registration mode; And
And checking whether the feature information matches the registration information if the quality level of the biometric information is equal to or higher than a preset second quality level in the authentication mode,
Wherein the predetermined first quality level in the registration mode and the predetermined second quality level in the authentication mode are different. The method according to claim 1,
The step of acquiring the sensing data
And correcting the sensing data to obtain corrected sensing data,
Wherein the sensing data included in the biometric information includes the corrected sensing data. The method according to claim 1,
The preset first quality level
Wherein the second quality level is higher than the predetermined second quality level. The method according to claim 1,
The preset first quality level
A registration feature information quality level preset for evaluating a quality level of the sensing data in the registration mode and a preset registration feature information quality level for evaluating a quality level of the feature information,
The preset second quality level
And a preset authentication feature information quality level for evaluating a quality level of the feature information in the authentication mode and a preset authentication feature information quality level for evaluating a quality level of the feature information. Based authentication method. 5. The method of claim 4,
The preset registration sensing data quality level
Is equal to or higher than the predetermined authentication sensing data quality level,
The preset registration feature information quality level
Wherein the biometric authentication information is at least the predetermined authentication characteristic information quality level. The method according to claim 1,
The quality level of the biometric information is
A quality level for the sensing data, and a quality level for the characteristic information. The method of claim 6, wherein
If the biometric information is fingerprint identification information,
The quality level for the sensing data is
A degree of distortion, an offset, and a rotation angle with respect to an image obtained from the authentication object,
The quality level for the feature information is
Based on at least one of the presence of at least one of a divergence point, an end point, a center point, and a delta in a minutiae and a number of feature points. The method of claim 1, wherein
The authentication object
A fingerprint of a user, a fingerprint pattern, a blood vessel pattern, a retina pattern, an iris pattern, an ear shape, and a face shape. The method according to claim 1,
And providing a user interface for at least one of feedback on registration failure and acquisition of new sensing data if the quality level of the biometric information is lower than the preset first quality level in the registration mode A biometric based authentication method characterized by: The method according to claim 1,
And providing a user interface for at least one of feedback on authentication failure and acquisition of new sensing data if the quality level of the biometric information is lower than the preset second quality level in the authentication mode A biometric based authentication method characterized by: The method according to claim 1,
If the quality level of the biometric information includes the quality level of the sensing data,
If the quality level of the sensing data is lower than a predetermined registration sensitivity data quality level belonging to the predetermined first quality level or lower than a predetermined authentication sensing data quality level belonging to the predetermined second quality level, And providing a user interface for requesting acquisition of new sensing data by omitting the step of calculating the biometric authentication data. 1. An electronic device capable of performing biometric-based authentication,
A memory for storing a preset first quality level and a preset second quality level;
A sensor unit sensing the authentication object to acquire sensing data; And
And a control unit for calculating feature information based on the sensing data,
The control unit
In the registration mode, if the quality level of biometric information including at least one of the sensing data and the characteristic information is equal to or higher than the predetermined first quality level, the characteristic information is recorded in the memory as registration information for the authentication object Control,
If the quality level of the biometric information is equal to or higher than the preset second quality level in the authentication mode, whether the feature information matches the registration information,
Wherein the predetermined first quality level in the registration mode and the predetermined second quality level in the authentication mode are different. 13. The method of claim 12,
The control unit
Acquiring corrected sensing data by correcting the sensed data,
Wherein the sensing data included in the biometric information includes the corrected sensing data. A biometric-based authentication method in an electronic device,
Storing registration information for an authentication object;
Providing a user interface for setting a security level for an application performing biometric authentication based authentication;
Designating a threshold value according to a security level set through the user interface;
Sensing the authentication object to obtain sensing data;
Calculating feature information based on the sensing data; And
And generating an event for authentication success if the match score indicating the degree to which the feature information matches the registration information is equal to or greater than the specified threshold value. 15. The method of claim 14,
Accumulating and storing match scores indicating the degree to which the feature information matches the registration information; And
Further comprising the step of controlling the registration information to be updated using the feature information if the accumulated match score satisfies a preset condition. 16. The method of claim 15,
The step of accumulating and storing the match scores
And accumulating and storing authentication scores having the match score equal to or greater than a preset threshold value. 17. The method of claim 16,
The preset condition
Wherein the cumulative authentication score for the authentication object gradually decreases and is equal to or close to the preset threshold value. 16. The method of claim 15,
Wherein the registration information is periodically updated using the feature information when the authentication object is a child,
If the number of update times using the feature information exceeds a predetermined number of times, the update of the registration information is restricted by stopping the addition of the feature information template included in the registration information on the authentication target Wherein the biometrics-based authentication method comprises: 1. An electronic device capable of performing biometric-based authentication,
A memory for storing registration information on an authentication target;
A user interface unit for providing a user interface for setting a security level for an application performing biometric authentication based authentication;
A sensor unit for sensing the authentication object to acquire sensing data; And
A threshold value is set according to the security level set through the user interface, the feature information is calculated based on the sensing data, and if the match score indicating the degree to which the feature information matches the registration information is equal to or greater than the specified threshold value, And a controller for generating an event for success. A biometric-based authentication method in an electronic device,
Recording at least a part of the first biometric information as registration information for the authentication subject if the quality level of the first biometric information obtained from the authentication subject is equal to or higher than a preset first quality level;
Providing a user interface for setting a security level for an application performing biometric authentication based authentication;
Designating a threshold value according to a security level set through the user interface; And
If the match score indicating the degree of quality of the second biometric information obtained from the authentication object is equal to or higher than a predetermined second quality level and the degree of matching of the second biometric information with the registration information is equal to or greater than the specified threshold, Generating an event for success. ≪ RTI ID = 0.0 > 21. < / RTI > 1. An electronic device capable of performing biometric-based authentication,
A memory for storing registration information on an authentication target;
A user interface unit for providing a user interface for setting a security level for an application performing biometric authentication based authentication; And
Wherein the control unit controls so that at least a part of the first biometric information is recorded as the registration information when the quality level of the first biometric information acquired from the authentication target is equal to or higher than a preset first quality level, A match score indicating a degree of quality of the second biometric information obtained from the authentication object is equal to or higher than a preset second quality level and the second biometric information is matched with the registration information, And generating an event for authentication success if the predetermined threshold is not less than a predetermined threshold value.

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