KR20230172367A - Apparatus and method for determining availability and priority of biometric information based on health records - Google Patents

Abstract

Disclosed is a method for determining the availability and priority of biometric information based on health records, which is performed by a server. The method includes constructing a first database based on biometric information on a plurality of users, acquiring first diagnostic information related to biometric information on a first user among the plurality of users, and obtaining first diagnosis information. updating information on a first database, determining the availability of a first type of biometric information corresponding to the first diagnostic information among the biometric information for the first user, and unavailability of the first type of biometric information. Based on the determination, the step of recommending different types of biometric information may be included.

Description

Device and method for determining availability and priority of biometric information based on health records {APPARATUS AND METHOD FOR DETERMINING AVAILABILITY AND PRIORITY OF BIOMETRIC INFORMATION BASED ON HEALTH RECORDS}

This disclosure relates to a biometric information utilization device and method. More specifically, the present disclosure relates to an apparatus and method for determining availability and priority of biometric information based on health records.

As the digitization of information progresses rapidly, a higher level of security technology is required. In order to develop high-level security technology, the development of a personal authentication method that is resistant to theft and forgery and has a low risk of alteration and loss must be preceded. Among the personal authentication methods currently under development, biometric technology has been proven efficient and is widely used in various fields such as medical care, the Internet of Things, and information and communications.

Biometric technology must be available to everyone (universality), no one has the same characteristics (uniqueness), it must not change or change over time (permanence), and it must be easy to extract and quantify information (obtainability). However, the body may change due to aging, certain diseases, or various accidents, and accordingly, there is a problem that permanence, which is one of the characteristics of biometric technology, may not be guaranteed.

Japanese Patent Publication 2020-016994A, 2010.01.30 Japanese Patent Publication 2011-039674A, 2011.02.24

The purpose of the embodiments disclosed in this disclosure is to provide an apparatus and method for determining the availability and priority of biometric information based on health records.

The problems to be solved by the present disclosure are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.

A method of determining the availability and priority of biometric information based on health records, which is performed by a server to achieve the above-described technical problem, includes the steps of building a first database based on biometric information for a plurality of users; Obtaining first diagnostic information related to biometric information for a first user among the plurality of users; updating the obtained first diagnostic information on the first database; determining the availability of a first type of biometric information corresponding to the first diagnostic information among the biometric information for the first user; and recommending another type of biometric information based on the determination that the first type of biometric information is unusable.

And, the constructing step includes performing preprocessing on biometric information about the plurality of users; extracting feature data of biometric information for the plurality of users that have performed the preprocessing; storing the extracted feature data on the first database; and verifying feature data stored in the first database.

And, the verifying step includes performing preprocessing on the first type of biometric information based on the first type of biometric information being input by the first user; extracting first feature data of the first type of biometric information that has undergone the preprocessing; Comparing the first characteristic data with second characteristic data of the first type of biometric information of the first user pre-stored in the first database; and completing verification of the second feature data based on the similarity between the first feature data and the second feature data exceeding a threshold.

And, the type of biometric information for the first user may include at least one of fingerprint information, iris information, or face information.

And, the first diagnosis information includes at least one of 1) information related to a disease that may cause an error in recognition of the fingerprint information, iris information, or face information, or 2) a disease code for the disease. can do.

And, the step of determining the availability of the first type of biometric information includes a pre-trained artificial intelligence model based on identifying that the first diagnostic information is related to the first type of biometric information through the disease code. It may include determining the availability of the first type of biometric information of the first user.

And, the recommending step includes: identifying remaining types of biometric information excluding the first type among a plurality of types of biometric information; and recommending a second type of biometric information with a higher priority among the identified types of biometric information.

Also, among the remaining types of biometric information, the second type of biometric information may be the biometric information that is least affected by the first diagnostic information.

And, the method provides a message recommending registering the second type of biometric information based on the fact that the second type of biometric information for the first user is not included in the first database. Additional steps may be included.

In another embodiment of the present disclosure, a server that performs a method of determining availability and priority of biometric information based on health records includes one or more communication modules; One or more memories; and one or more processors, wherein the one or more processors construct a first database based on biometric information about a plurality of users; Obtain first diagnostic information related to biometric information for a first user among the plurality of users; updating the obtained first diagnostic information on the first database; determine the availability of a first type of biometric information corresponding to the first diagnostic information among the biometric information for the first user; And based on the determination that the first type of biometric information is unusable, another type of biometric information may be recommended.

And, the one or more processors perform preprocessing on biometric information about the plurality of users; Extract feature data of biometric information for the plurality of users that have performed the preprocessing; storing the extracted feature data on the first database; And feature data stored in the first database can be verified.

And, the one or more processors perform preprocessing on the first type of biometric information based on the first type of biometric information being input by the first user; extracting first feature data of the first type of biometric information that has undergone the preprocessing; comparing the first characteristic data with second characteristic data of the first type of biometric information of the first user previously stored in the first database; And based on the similarity between the first feature data and the second feature data exceeding a threshold, verification of the second feature data may be completed.

And, the type of biometric information for the first user may include at least one of fingerprint information, iris information, vein information, or face information.

And, the first diagnosis information may be 1) information related to a disease that may cause an error in recognition of the fingerprint information, iris information, vein information, or face information, or 2) one of the disease codes for the disease. It can contain at least one.

And, the one or more processors, based on identifying that the first diagnostic information is related to the first type of biometric information through the disease code, the first user's first diagnosis information through a pre-trained artificial intelligence model. 1 The availability of type 1 biometric information can be determined.

And, the one or more processors identify the remaining types of biometric information except the first type among the plurality of types of biometric information; And among the identified types of biometric information, a second type of biometric information with a higher priority may be recommended.

Also, among the remaining types of biometric information, the second type of biometric information may be the biometric information that is least affected by the first diagnostic information.

Additionally, based on the fact that the second type of biometric information for the first user is not included in the first database, a message recommending registration of the second type of biometric information may be provided.

In addition to this, a computer program stored in a computer-readable recording medium for execution to implement the present disclosure may be further provided.

In addition, a computer-readable recording medium recording a computer program for executing a method for implementing the present disclosure may be further provided.

According to the means for solving the above-described problem of the present disclosure, an apparatus and method for determining the availability and priority of biometric information based on health records can be provided.

In addition, according to the means for solving the above-described problem of the present disclosure, when it is impossible to use the biometric information of an existing registered user due to a specific disease, a method of recommending customized biometric information to the user based on information about the specific disease will be provided. You can.

In addition, according to the means for solving the above-described problem of the present disclosure, the utilization of biometrics can be increased in various fields where biometrics are applied, and the time of emergency services can be shortened by more quickly identifying patients in the field of emergency activities. .

In addition, according to the above-described problem solving means of the present disclosure, a more rapid identification operation for a user can be performed.

In addition, the means for solving the above-described problems of the present disclosure can be applied in various fields such as medical care, identity verification, and attendance management, thereby increasing the usability of biometric recognition.

The effects of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned may be clearly understood by those skilled in the art from the description below.

1 is a schematic diagram of a system for implementing a method for determining availability and priority of biometric information, according to an embodiment of the present disclosure.
Figure 2 is a block diagram showing the configuration of a server that performs a method of determining availability and priority of biometric information according to an embodiment of the present disclosure.
Figure 3 is a flowchart explaining a method of determining availability and priority of biometric information, according to an embodiment of the present disclosure.
FIGS. 4A and 4B are diagrams illustrating a method of determining availability and priority of biometric information according to an embodiment of the present disclosure.
Figure 5 is a flowchart explaining a method of building a first database according to an embodiment of the present disclosure.
FIG. 6 is a diagram illustrating a process of verifying biometric information stored in a first database according to an embodiment of the present disclosure.

Like reference numerals refer to like elements throughout this disclosure. The present disclosure does not describe all elements of the embodiments, and general content or overlapping content between the embodiments in the technical field to which the present disclosure pertains is omitted. The term 'unit, module, member, block' used in the specification may be implemented as software or hardware, and depending on the embodiment, a plurality of 'unit, module, member, block' may be implemented as a single component, or It is also possible for one 'part, module, member, or block' to include multiple components.

Throughout the specification, when a part is said to be “connected” to another part, this includes not only direct connection but also indirect connection, and indirect connection includes connection through a wireless communication network. do.

Additionally, when a part "includes" a certain component, this means that it may further include other components rather than excluding other components, unless specifically stated to the contrary.

Throughout the specification, when a member is said to be located “on” another member, this includes not only cases where a member is in contact with another member, but also cases where another member exists between the two members.

Terms such as first and second are used to distinguish one component from another component, and the components are not limited by the above-mentioned terms.

Singular expressions include plural expressions unless the context clearly makes an exception.

The identification code for each step is used for convenience of explanation. The identification code does not explain the order of each step, and each step may be performed differently from the specified order unless a specific order is clearly stated in the context. there is.

In this specification, a server device is referred to as an example of a device that determines the availability and priority of biometric information based on health records. Here, the server device is a server that processes information by communicating with external devices, and may include an application server, computing server, database server, file server, game server, mail server, proxy server, and web server.

However, this is only an example, and the device that determines the availability and priority of biometric information based on health records may include both a computer and a portable terminal, or may be in any one form.

Here, the computer may include, for example, a laptop, desktop, laptop, tablet PC, slate PC, etc. equipped with a web browser.

The portable terminal is, for example, a wireless communication device that guarantees portability and mobility, such as PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), and PDA. (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminal, smart phone ), all types of handheld wireless communication devices, and wearable devices such as watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted-device (HMD). may include.

Hereinafter, the operating principle and embodiments of the present disclosure will be described with reference to the attached drawings.

1 is a schematic diagram of a system 1000 for implementing a method for determining availability and priority of biometric information, according to an embodiment of the present disclosure. System 1000 shown in FIG. 1 may be implemented by one or more servers.

The server may obtain biometric information 10 for multiple users. Here, biometric information is used for security, authentication and recognition, including fingerprint information, palm information, iris information, vein information, face information, speech information, It may include at least one of gait information, electrocardiogram (ECG) information, or signature information. In other words, biometric information can be implemented as various types of recognition information that can identify a specific user based on biometric signals.

Biometric information 10 about the user can be input from a device connected wired/wireless to the server. For example, biometric information 10 about the user can be obtained through a biometric recognition device wired to a server. As another example, biometric information 10 about the user may be obtained from a terminal device (eg, a smart phone, etc.) wirelessly connected to the server.

The server stores biometric information 10 for a plurality of registered users in a first database (or biometric database) 25 or/and personal health records (PHR) server/cloud (30). ) can be registered and updated (20). Accordingly, the first database 25 can be built based on multiple biometric information for multiple users. The process of registering and updating biometric information 10 in the first database 25 or/and the PHR server/cloud 30 (20) will be described in detail with reference to FIGS. 5 and 6.

When diagnostic information for the first user among the plurality of users is obtained, the server may update/register the corresponding diagnostic information on the first database 25 or/and the PHR server/cloud 30. Based on the updated diagnostic information 41 and the long-term biometric impairment profile on the PHR server/cloud 30, the server determines the availability of certain types of biometric information of the first user ( 45) can be determined. And, if a specific type of biometric information of the first user is not available, the server may recommend optimal biometric information for the first user based on the priority 47 of each type of biometric information. .

As described above, the server determines the availability of biometric information of a pre-registered user based on personal health diagnosis information and performs a method 40 of recommending the user's optimal biometric information based on priority. .

As another example, in an emergency situation, the server uses the mobile device 61 and the patient monitoring device 62 to determine the availability of user biometric information based on a short-term biometric impairment profile 64. 64) and method 60 of determining priority 65 can be performed.

Later, when biometric information for user recognition is input from a specific user, the server may perform a matching operation 50 between the input biometric information and the biometric information stored in the first database 25. If the input biometric information is identified as a specific user (70), the server may search for the PHR of the specific user in the PHR server/cloud (30) (80).

As described above, the present disclosure provides availability and priority of biometric information used to identify a user, so that more accurate and faster identity identification operations can be performed.

Figure 2 is a block diagram showing the configuration of a server that performs a method of determining availability and priority of biometric information according to an embodiment of the present disclosure.

As shown in FIG. 2, the server 100 may include a memory 110, a communication module 120, a display 130, an input module 140, and a processor 150. However, it is not limited to this, and the software and hardware configuration of the server 100 may be modified/added/omitted depending on the required operation within the range obvious to those skilled in the art.

The memory 110 can store data supporting various functions of the server 100 and a program for the operation of the processor 150, and can store input/output data (e.g., music files, still images, video, etc.), a number of application programs (application programs or applications) running on the device, data for the operation of the server 100, and commands can be stored. At least some of these applications may be downloaded from an external server via wireless communication.

The memory 110 is of a flash memory type, hard disk type, solid state disk type, SDD type (Silicon Disk Drive type), and multimedia card micro type. micro type), card type memory (e.g. SD or XD memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), EEPROM (electrically erasable) It may include at least one type of storage medium among programmable read-only memory (PROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, and optical disk.

Additionally, the memory 110 is separate from the device, but may include a database connected by wire or wirelessly. For example, the first database shown in FIG. 1 may be implemented as a component of the memory 110.

The communication module 120 may include one or more components that enable communication with an external device, for example, at least one of a broadcast reception module, a wired communication module, a wireless communication module, a short-range communication module, and a location information module. may include.

Wired communication modules include various wired communication modules such as Local Area Network (LAN) modules, Wide Area Network (WAN) modules, or Value Added Network (VAN) modules, as well as USB (Universal Serial Bus) modules. ), HDMI (High Definition Multimedia Interface), DVI (Digital Visual Interface), RS-232 (recommended standard 232), power line communication, or POTS (plain old telephone service).

In addition to Wi-Fi modules and WiBro (Wireless broadband) modules, wireless communication modules include GSM (global System for Mobile Communication), CDMA (Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), and UMTS (universal mobile telecommunications system). ), TDMA (Time Division Multiple Access), LTE (Long Term Evolution), 4G, 5G, 6G, etc. may include a wireless communication module that supports various wireless communication methods.

The display 130 displays (outputs) information processed by the server 100 (e.g., diagnostic information for the user/information related to determining the availability of biometric information/recommended information for other types of biometric information, etc.). The display 130 may be attached to the server 100, but is not limited to this, and may be a display 130 connected wired/wireless to the server 100 (or a display 130 connected wired/wireless to the server 100). may include a display of a separate terminal device).

For example, the display 130 displays execution screen information of an application (for example, an application) running on the server 100, or UI (User Interface) and GUI (Graphic User Interface) information according to this execution screen information. can be displayed. The types of UI output from the display 130 will be described later.

The input module 140 is for receiving information from the user. When information is input through the user input unit, the processor 150 can control the operation of the server 100 to correspond to the input information. As another example, the input module 140 may receive biometric information from the user.

The input module 140 includes hardware-type physical keys (e.g., buttons, dome switches, jog wheels, jog switches, etc. located on at least one of the front, back, and sides of the device) and software-type physical keys. May include touch keys. As an example, the touch key consists of a virtual key, soft key, or visual key displayed on the touch screen type display 130 through software processing, or the above It may consist of a touch key placed in a part other than the touch screen. Meanwhile, the virtual key or visual key can be displayed on the touch screen in various forms, for example, graphic, text, icon, video or these. It can be made up of a combination of .

The processor 150 includes a memory that stores data for an algorithm for controlling the operation of components within the server 100 or a program that reproduces the algorithm, and at least one device that performs the above-described operations using the data stored in the memory. It can be implemented with a processor (not shown). At this time, the memory and processor may each be implemented as separate chips. Alternatively, the memory and processor may be implemented as a single chip.

In addition, the processor 150 can control any one or a combination of the above-described components in order to implement various embodiments according to the present disclosure described in FIGS. 3 to 6 below on the server 100. You can.

Figure 3 is a flowchart explaining a method of determining availability and priority of biometric information, according to an embodiment of the present disclosure.

The server may build a first database (eg, biometric database) based on biometric information about a plurality of users (S310).

The first database may store feature data extracted from biometric information input from a plurality of users. At this time, the feature data may be data that has completed the verification process. Embodiments related to this will be described in detail with reference to FIGS. 5 and 6.

The server may obtain first diagnostic information related to biometric information for the first user among the plurality of users (S320).

At this time, the first diagnostic information is at least one of 1) information related to a disease that may cause errors in recognition of biometric information (e.g., fingerprint information, iris information, or face information) or 2) a disease code for the disease. It can be included.

The server may update the obtained first diagnosis information on the first database (S330).

Specifically, as shown in FIG. 4(a), the first diagnosis information generated for the first user is personal health records such as Personal Health Record (PHR), Electronic Medical Record (EMR), and Hospital Information Service (HIS). It can be automatically linked to the server 30. And, the server may update the first diagnostic information about the linked first user on a database related to the first user among the first databases 25.

The server 100 may determine the availability of the first type of biometric information corresponding to the first diagnosis information among the biometric information about the first user (S330).

Each biometric information may cause recognition errors for various reasons. For example, if fingertips are cracked, acquired causes such as wounds/dermatitis, or congenital causes such as Adermatorglyphia occur, errors in fingerprint information recognition may occur. As another example, facial information recognition errors may be caused by the influence of the external environment such as lighting and angle, or the influence of aging or facial expression. As another example, iris information recognition errors may be caused by light reflection, effects of focal lenses, eye diseases such as cataracts and glaucoma, defects in the iris structure, anterior uveitis, etc.

As shown in FIG. 4(a), the server can identify which type of biometric information the first diagnosis information corresponds to through the disease code (e.g., disease code number stored in the event profile, etc.) there is. For example, diseases and disease codes that can affect the recognition of biometric information can be organized as shown in Table 1.

For example, as shown in FIG. 4(a), when iris glaucoma (disease code H40) occurs in the first user according to the first diagnosis information, the server uses the first type of biometric information (e.g., iris information) This can be judged to be impossible.

As another example, availability of the first type of biometric information of the first user through a pre-trained artificial intelligence model based on identification that the first diagnostic information is related to the first type of biometric information through a disease code. can be judged.

At this time, the artificial intelligence model can be trained to determine the availability of each type of biometric information. Artificial intelligence models can perform supervised training based on data sets in which the availability of biometric information has been determined. However, it is not limited to this, and artificial intelligence models can be learned using various types of learning methods.

An artificial intelligence model can be trained to predict the possibility of recognizing biometric information based on the data set. For example, if the likelihood of recognition is less than a threshold, the artificial intelligence model may be trained to output 0, and if the likelihood of recognition is greater than the threshold, the artificial intelligence model may be trained to output 1 (i.e., binary classification).

Based on the determination that the first type of biometric information is unusable, the server may recommend another type of biometric information (S350).

Specifically, the server may identify the remaining types of biometric information except for the first type among the plurality of types of biometric information. Additionally, the server may recommend a second type of biometric information with a higher priority among the identified types of biometric information.

For example, the priority of biometric information may be determined based on whether it is less affected by diagnostic information. That is, among the remaining types of biometric information, the second type of biometric information may be the biometric information that is least affected by the first diagnostic information.

As another example, as shown in FIG. 4(a), when it is determined that a specific type of biometric information cannot be used, a preferred type of biometric information may be defined in advance. For example, if the first user develops iris glaucoma (disease code H40) according to the first diagnosis information, the server may recommend fingerprint information or face information.

Based on the fact that the second type of biometric information for the first user is not included in the first database, the server may provide a message recommending registering the second type of biometric information. Accordingly, the server may obtain the second type of biometric information from the first user and update the obtained second type of biometric information on the first database.

At this time, as shown in FIG. 4(b), the server may store information about the biometric information of the user who failed to be recognized in the personal health record server. Additionally, the server can separately store information related to biometric information in preparation for emergency situations.

Thereafter, the server may identify the first user based on the second type of biometric information about the first user and retrieve the health record for the first user. For example, as shown in FIG. 4(a), the server can use the newly registered type of biometric information for medical treatment/attendance/personal identification, etc.

Figure 5 is a flowchart explaining a method of building a first database according to an embodiment of the present disclosure.

The server may perform preprocessing on biometric information for multiple users (S510). The server can perform preprocessing operations appropriate for the type of biometric information. For example, if the biometric information is fingerprint information, face information, or iris information, the preprocessing operation may be a preprocessing operation to extract feature data of the image. As another example, when the biometric information is voice information, the preprocessing operation may be a preprocessing operation to extract feature data of the voice data.

The server may extract characteristic data of biometric information for a plurality of users that have performed preprocessing (S520). And, the server may store the extracted feature data on the first database (S530). For example, the server may match the extracted feature data with the user name (or identification information that can identify the user) and store it in the first database.

The server may verify feature data stored in the first database (S550). For example, assume that a first type of biometric information input by a first user is verified.

Based on the first type of biometric information being input by the first user, the server may perform preprocessing on the first type of biometric information. The server may extract first characteristic data of the first type of biometric information that has undergone preprocessing. The server may compare the first characteristic data with the second characteristic data of the first type of biometric information of the first user previously stored in the first database. Based on the similarity between the first feature data and the second feature data exceeding the threshold, the server may complete verification of the second feature data.

If the similarity between the first feature data and the second feature data is below the threshold, the server may delete the second feature data and provide a message to re-enter the first type of biometric information. When the first type of biometric information is input by the first user, the server may again perform a process (S510 to S530) of registering the first type of biometric information in the first database. Additionally, the server may perform a verification process for the biometric information stored in the first database based on the first type of biometric information newly input by the first user.

FIG. 6 is a diagram illustrating a process for verifying biometric information stored in a first database according to an embodiment of the present disclosure.

The server may receive input 610 of biometric information from the first user. The server may perform preprocessing (620) on the input biometric information. The server may extract first feature data from the preprocessed data (630). The server may register/store the extracted first feature data in the first database.

The server may perform verification on the first feature data registered/stored in the first database. The server may receive input 640 of biometric information from the first user again to perform verification. The server may perform preprocessing (650) on the input biometric information. The server may extract second feature data from the preprocessed data (660). Additionally, the server may perform verification on the first feature data based on whether the first feature data and the second feature data match.

Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium that stores instructions executable by a computer. Instructions may be stored in the form of program code, and when executed by a processor, may create program modules to perform operations of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

Computer-readable recording media include all types of recording media storing instructions that can be decoded by a computer. For example, there may be Read Only Memory (ROM), Random Access Memory (RAM), magnetic tape, magnetic disk, flash memory, optical data storage device, etc.

As described above, the disclosed embodiments have been described with reference to the attached drawings. A person skilled in the art to which this disclosure pertains will understand that the present disclosure may be practiced in forms different from the disclosed embodiments without changing the technical idea or essential features of the present disclosure. The disclosed embodiments are illustrative and should not be construed as limiting.

100: server
110: memory
120: communication module
130: display
140: input module
150: processor

Claims (18)

In the method of determining the availability and priority of biometric information based on health records, performed by a server, the method includes:
Building a first database based on biometric information about a plurality of users;
Obtaining first diagnostic information related to biometric information for a first user among the plurality of users;
updating the obtained first diagnostic information on the first database;
determining the availability of a first type of biometric information corresponding to the first diagnostic information among the biometric information for the first user; and
A method comprising recommending another type of biometric information based on determining that the first type of biometric information is unusable. According to paragraph 1,
The construction step is,
Performing preprocessing on biometric information about the plurality of users;
extracting feature data of biometric information for the plurality of users that have performed the preprocessing;
storing the extracted feature data on the first database; and
A method comprising verifying feature data stored on the first database. According to paragraph 2,
The verification step is,
performing preprocessing on the first type of biometric information based on the first type of biometric information being input by the first user;
extracting first feature data of the first type of biometric information that has undergone the preprocessing;
Comparing the first characteristic data with second characteristic data of the first type of biometric information of the first user pre-stored in the first database; and
Completing verification of the second feature data based on the similarity between the first feature data and the second feature data exceeding a threshold. According to paragraph 3,
The type of biometric information for the first user is:
A method including at least one of fingerprint information, iris information, or face information. According to paragraph 4,
The first diagnostic information is,
A method comprising at least one of 1) information related to a disease that may cause an error in recognition of the fingerprint information, the iris information, or the face information, or 2) a disease code for the disease. According to clause 5,
The step of determining the availability of the first type of biometric information includes:
Based on the identification that the first diagnostic information is related to the first type of biometric information through the disease code, the availability of the first type of biometric information of the first user is determined through a pre-trained artificial intelligence model. A method comprising the step of determining. According to clause 6,
The recommended steps above are:
Identifying the remaining types of biometric information excluding the first type among a plurality of types of biometric information; and
A method comprising recommending a second type of biometric information with a higher priority among the identified types of biometric information. In clause 7,
Among the remaining types of biometric information, the second type of biometric information is the biometric information least affected by the first diagnostic information. According to clause 8,
Further comprising providing a message recommending registration of the second type of biometric information based on the fact that the second type of biometric information for the first user is not included in the first database. , method. In the server that performs a method of determining the availability and priority of biometric information based on health records,
One or more communication modules;
One or more memories; and
Contains one or more processors,
The one or more processors:
Constructing a first database based on biometric information of a plurality of users;
Obtain first diagnostic information related to biometric information for a first user among the plurality of users;
updating the obtained first diagnostic information on the first database;
determine the availability of a first type of biometric information corresponding to the first diagnostic information among the biometric information for the first user; and
A server that recommends another type of biometric information based on the determination that the first type of biometric information is unusable. According to clause 10,
The one or more processors:
Perform preprocessing on biometric information about the plurality of users;
Extract feature data of biometric information for the plurality of users that have performed the preprocessing;
storing the extracted feature data on the first database; and
A server that verifies feature data stored on the first database. According to clause 11,
The one or more processors:
Based on the first type of biometric information being input by the first user, preprocessing is performed on the first type of biometric information;
extracting first feature data of the first type of biometric information that has undergone the preprocessing;
comparing the first characteristic data with second characteristic data of the first type of biometric information of the first user previously stored in the first database; and
The server completes verification of the second feature data based on the similarity between the first feature data and the second feature data exceeding a threshold. According to clause 12,
The type of biometric information for the first user is,
A server including at least one of fingerprint information, iris information, vein information, or face information. According to clause 13,
The first diagnostic information is,
A server comprising at least one of 1) information related to a disease that may cause an error in recognition of the fingerprint information, iris information, vein information, or face information, or 2) a disease code for the disease. According to clause 14,
The one or more processors:
Based on the identification that the first diagnostic information is related to the first type of biometric information through the disease code, the availability of the first type of biometric information of the first user is determined through a pre-trained artificial intelligence model. Judging server. According to clause 15,
The one or more processors:
Identifying the remaining types of biometric information except for the first type among the plurality of types of biometric information; and
A server that recommends a second type of biometric information with a higher priority among the identified types of biometric information. According to clause 16,
Among the remaining types of biometric information, the second type of biometric information is the biometric information least affected by the first diagnostic information. According to clause 17,
A server that provides a message recommending registering the second type of biometric information based on the fact that the second type of biometric information for the first user is not included in the first database.

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