CN115205909A - Method, device, equipment and medium for updating standard fingerprint data - Google Patents

Method, device, equipment and medium for updating standard fingerprint data Download PDF

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Publication number
CN115205909A
CN115205909A CN202210808993.XA CN202210808993A CN115205909A CN 115205909 A CN115205909 A CN 115205909A CN 202210808993 A CN202210808993 A CN 202210808993A CN 115205909 A CN115205909 A CN 115205909A
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fingerprint data
authentication
data
fingerprint
comparison
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黄文强
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Bank of China Ltd
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Bank of China Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401—Transaction verification
    • G06Q20/4014—Identity check for transactions
    • G06Q20/40145—Biometric identity checks

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  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • General Physics & Mathematics (AREA)
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  • Finance (AREA)
  • Strategic Management (AREA)
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Abstract

The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a medium for updating standard fingerprint data. The method comprises the following steps: acquiring a comparison fingerprint data set of an authentication object, wherein the comparison fingerprint data set comprises at least one comparison fingerprint data, and the comparison fingerprint data set comprises successfully authenticated fingerprint data; acquiring standard fingerprint data of the authentication object, wherein the standard fingerprint data is used for authenticating the fingerprint data; obtaining distinguishing feature data according to comparison fingerprint data and the standard fingerprint data which are included in the comparison fingerprint data set; updating the standard fingerprint data based on the discriminating characteristic data. The fingerprint identification method and the fingerprint identification device obtain the distinguishing characteristic data by processing and comparing the fingerprint data with the standard fingerprint data, and update the standard fingerprint data based on the distinguishing characteristic data. Therefore, the standard fingerprint data can be updated by comparing the fingerprint data, the obtained standard fingerprint data is more accurate, and the fingerprint identification efficiency is improved.

Description

Method, device, equipment and medium for updating standard fingerprint data
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a medium for updating standard fingerprint data.
Background
With the development of biometric identification technology, fingerprint identification technology is increasingly applied to a plurality of scenes in daily life of people. For example, when a bank transacts business, a client needs to identify the identity through fingerprint identification. The client reserves standard fingerprint, which is converted into standard fingerprint data to be stored in the fingerprint database. When the business is transacted, the comparison fingerprint is input and is converted into comparison fingerprint data through system processing. The system realizes the identity authentication of the client by judging and comparing the similarity between the fingerprint data and the standard fingerprint data.
At present, a client may need to input fingerprints for multiple times to pass authentication in the process of handling business, and the fingerprint identification efficiency is low.
Disclosure of Invention
The application provides a method, a device, equipment and a medium for updating standard fingerprint data, which can improve fingerprint identification efficiency.
In a first aspect, the present application provides a method of updating standard fingerprint data, the method comprising:
acquiring a comparison fingerprint data set of an authentication object, wherein the comparison fingerprint data set comprises at least one comparison fingerprint data, and the comparison fingerprint data set comprises successfully authenticated fingerprint data;
acquiring standard fingerprint data of the authentication object, wherein the standard fingerprint data is used for authenticating the fingerprint data;
obtaining distinguishing characteristic data according to the comparison fingerprint data included in the comparison fingerprint data set and the standard fingerprint data;
obtaining distinguishing feature data according to the different fingerprint data of the first fingerprint data and the second fingerprint data;
updating the standard fingerprint data based on the discriminating characteristic data.
Optionally, the acquiring a comparison fingerprint data set of the authentication object includes:
acquiring target fingerprint data input by the authentication object in the successful authentication process;
adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set;
if the target fingerprint data comprises fingerprint data which fails to be authenticated, acquiring first authentication times of the fingerprint data which fails to be authenticated and second authentication times of the fingerprint data which succeeds in authentication;
calculating the difference between the second authentication times and the first authentication times to obtain target times;
and adding the fingerprint data which meets the condition that the target times are less than the preset times and fails in authentication to the comparison fingerprint data set.
Optionally, the acquiring a comparison fingerprint data set of the authentication object includes:
acquiring target fingerprint data input by the authentication object in the successful authentication process;
adding successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set;
if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a first authentication time of the fingerprint data failed in authentication and a second authentication time of third fingerprint data, wherein the second authentication time of the third fingerprint data is adjacent to the first authentication time of the fingerprint data failed in authentication, and the second authentication time of the third fingerprint data is behind the first authentication time of the fingerprint data failed in authentication;
calculating a target time interval between the second authentication time and the first authentication time;
and adding the fingerprint data of which the target time interval is smaller than a preset time interval and which fails in authentication to the comparison fingerprint data set.
Optionally, the acquiring a comparison fingerprint data set of the authentication object includes:
acquiring target fingerprint data input by the authentication object in the successful authentication process;
adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set;
if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a third authentication frequency of the fingerprint data failed in authentication and a fourth authentication frequency of the fingerprint data successful in authentication;
calculating the difference value between the fourth authentication times and the third authentication times to obtain target times;
determining the fingerprint data with the target times smaller than the preset times and failed in authentication as fourth fingerprint data;
acquiring a third authentication time of the fourth fingerprint data and a fourth authentication time of fifth fingerprint data, wherein the fourth authentication time of the fifth fingerprint data is adjacent to the third authentication time of the fourth fingerprint data, and the fourth authentication time of the fifth fingerprint data is after the third authentication time of the fourth fingerprint data;
calculating a target time interval between the fourth authentication time and the third authentication time;
and adding the fourth fingerprint data of which the target time interval is smaller than a preset time interval to the comparison fingerprint data set.
Optionally, the preset time interval is determined according to a time interval of historical re-authentication.
Optionally, obtaining distinguishing feature data according to the comparison fingerprint data included in the comparison fingerprint data set and the standard fingerprint data, including:
taking comparison fingerprint data which belongs to preset data length in the target comparison fingerprint data as first fingerprint data; the target comparison fingerprint data is one comparison fingerprint data in the comparison fingerprint data set;
taking the standard fingerprint data belonging to the preset data length in the standard fingerprint data as second fingerprint data;
determining the same data in the first fingerprint data and the second fingerprint data as first data, wherein the ratio of the data length of the first data in the preset data length exceeds a preset threshold;
determining data which is different from the first fingerprint data and the second fingerprint data as second data;
and taking the second data with the data type of the fingerprint grain break point as the distinguishing characteristic data.
In a second aspect, the present application provides an apparatus for updating standard fingerprint data, the apparatus comprising:
the fingerprint collection module is used for acquiring a comparison fingerprint data set and standard fingerprint data of an authentication object;
the fingerprint data processing module is used for analyzing comparison fingerprint data and standard fingerprint data which are included in the comparison fingerprint data set to acquire distinguishing characteristic data;
and the fingerprint updating module is used for updating the standard fingerprint data based on the distinguishing characteristic data.
Optionally, the fingerprint collection module is configured to obtain target fingerprint data input by the authentication object in a process of successful authentication; adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set; acquiring a first authentication frequency of fingerprint data which fails to be authenticated and a second authentication frequency of fingerprint data which succeeds to be authenticated in the target fingerprint data; calculating the difference value between the second authentication times and the first authentication times to obtain target times; and adding the fingerprint data which meets the condition that the target times are less than the preset times and fails in authentication to the comparison fingerprint data set.
Optionally, the fingerprint collection module is configured to obtain target fingerprint data input by the authentication object in a successful authentication process; adding successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set; if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a first authentication time of the fingerprint data failed in authentication and a second authentication time of third fingerprint data, wherein the second authentication time of the third fingerprint data is adjacent to the first authentication time of the fingerprint data failed in authentication, and the second authentication time of the third fingerprint data is behind the first authentication time of the fingerprint data failed in authentication; calculating a target time interval between the second authentication time and the first authentication time; and adding the fingerprint data of which the target time interval is smaller than a preset time interval and which fails in authentication to the comparison fingerprint data set.
Optionally, the fingerprint collection module is configured to obtain target fingerprint data input by the authentication object in a successful authentication process; adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set; if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a third authentication frequency of the fingerprint data failed in authentication and a fourth authentication frequency of the fingerprint data successful in authentication; calculating the difference value between the fourth authentication times and the third authentication times to obtain target times; determining the fingerprint data of which the target times are less than the preset times and which fail to be authenticated as fourth fingerprint data; acquiring a third authentication time of the fourth fingerprint data and a fourth authentication time of fifth fingerprint data, wherein the fourth authentication time of the fifth fingerprint data is adjacent to the third authentication time of the fourth fingerprint data, and the fourth authentication time of the fifth fingerprint data is after the third authentication time of the fourth fingerprint data; calculating a target time interval between the fourth authentication time and the third authentication time; and adding the fourth fingerprint data of which the target time interval is smaller than a preset time interval to the comparison fingerprint data set.
Optionally, the preset time interval is determined according to a time interval of historical re-authentication.
Optionally, the fingerprint updating module is configured to use comparison fingerprint data in the target comparison fingerprint data, which belongs to a preset data length, as first fingerprint data; the target comparison fingerprint data is one comparison fingerprint data in the comparison fingerprint data set; taking the standard fingerprint data belonging to the preset data length in the standard fingerprint data as second fingerprint data; determining the same data in the first fingerprint data and the second fingerprint data as first data, wherein the ratio of the data length of the first data in the preset data length exceeds a preset threshold; determining data which are different in the first fingerprint data and the second fingerprint data as second data; and taking the second data with the data type of a fingerprint grain breakpoint as the distinguishing characteristic data.
In a third aspect, the present application provides an apparatus for updating standard fingerprint data, the apparatus comprising a processor and a memory:
the memory is used for storing a computer program and transmitting the computer program to the processor;
the processor is configured to perform the method of updating standard fingerprint data according to any of the first aspect according to instructions in the computer program.
In a fourth aspect, the present application provides a computer readable storage medium for storing a computer program for performing the method of updating standard fingerprint data of any one of the first aspect.
The technical scheme of the application has the advantages that:
the application provides a method, a device, equipment and a medium for updating standard fingerprint data. Therefore, the standard fingerprint data can be updated by comparing the fingerprint data, and the obtained standard fingerprint data is more accurate, so that the fingerprint identification efficiency is improved.
Drawings
Fig. 1 is a flowchart of a method for updating standard fingerprint data according to an embodiment of the present application;
fig. 2 is a block diagram of an apparatus for updating standard fingerprint data according to an embodiment of the present application;
fig. 3 is a block diagram of an apparatus for updating standard fingerprint data according to an embodiment of the present application;
fig. 4 is a schematic diagram of a computer-readable storage medium according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fingerprint identification is currently used in a number of fields. For example, when banking is performed, the identity of a client needs to be authenticated through fingerprint identification. During authentication, the comparison fingerprint input by the client needs to be converted into data and compared with the reserved standard fingerprint data. However, in the actual authentication process, the client usually needs to input the fingerprint for many times to pass the fingerprint authentication, and the identification efficiency is low.
The standard fingerprint reserved by the client is influenced by some objective factors. For example, the reserved standard fingerprint is obtained after the client presses the reserved standard fingerprint with random force, so that the obtained standard fingerprint data may not be complete. Moreover, the input comparison fingerprint may be incomplete every time the business is transacted, which may result in multiple times of authentication failure, and the client is required to adjust the position of the hand to ensure the input comparison fingerprint to be consistent with the standard fingerprint as much as possible.
Based on this, the application provides a method, a device, equipment and a medium for updating standard fingerprint data, by acquiring a comparison fingerprint data set and standard fingerprint data of an authentication object, obtaining distinguishing feature data according to the comparison fingerprint data and the standard fingerprint data included in the comparison fingerprint data set, and finally updating the standard fingerprint data based on the distinguishing feature data. Therefore, the standard fingerprint data can be updated by comparing the fingerprint data, and the obtained standard fingerprint data is more accurate, so that the fingerprint identification efficiency is improved.
Referring to fig. 1, the figure is a flowchart of a method for updating standard fingerprint data according to an embodiment of the present application, and the method includes steps S101-S104.
S101: and acquiring a comparison fingerprint data set of the authentication object.
The comparison fingerprint data set of the authentication object can be comparison fingerprint data which can be used for updating standard fingerprint data and is input by the authentication object in the process of one successful authentication. In the process of one successful authentication, the authentication object may only authenticate the fingerprint once and pass the authentication, or may authenticate the fingerprint multiple times and pass the authentication, and the comparison fingerprint data set at least comprises the fingerprint data which is authenticated successfully, or also comprises one or more fingerprint data which is authenticated unsuccessfully.
When an authentication object performs fingerprint authentication, a fingerprint scanner may acquire a fingerprint image using various techniques. Such as optical fingerprint acquisition technology, capacitive sensor fingerprint acquisition, ultrasonic fingerprint acquisition technology, or electromagnetic fingerprint acquisition technology.
After the fingerprint image is obtained, the fingerprint image is preprocessed through preprocessing steps of gray level transformation, segmentation, equalization, enhancement, thinning and the like of the image.
For the processed fingerprint image, feature data is extracted. The feature data includes a global feature and a local feature. The overall characteristic may be a core point, a triangle point, which is located at the progressive center of the fingerprint lines, i.e. at the first bifurcation or breakpoint from the core point, or one or more of the convergence, the isolated point, the turning point and the number of the fingerprint lines of two lines. The local feature may be an intersection, inflection point, or breakpoint of the grain pattern. The break points are also called feature points, and the main parameters of the feature points may include:
direction: the direction in which the feature points are located relative to the core points.
Curvature: the speed at which the direction of the grain changes.
Position: the position coordinates of the nodes are described by xy coordinates. It may be an absolute coordinate or a relative coordinate with a triangular point (or a feature point).
After the feature data is extracted, the feature data can be stored in a database, and when the authentication object performs fingerprint authentication, the feature data of each authentication of the authentication object can be acquired from the database and added to the comparison fingerprint data set.
In some possible implementation manners, the embodiment of the present application provides three specific implementation manners for obtaining a comparison fingerprint data set of an authentication object, which are specifically referred to below.
S102: and acquiring standard fingerprint data of the authentication object, wherein the standard fingerprint data is used for authenticating the fingerprint data.
For example, in the authentication process, the authentication object may input the own account number, mobile phone number, identification card number and other identity information, and then input the comparison fingerprint to perform fingerprint authentication. After the identity information is input, the system calls the standard fingerprint data of the authentication object for the fingerprint authentication. The initial standard fingerprint data acquisition mode is similar to the acquisition mode mentioned in S101, and is not described in detail.
It should be understood that the order of S101 and S102 may be reversed, and the order does not affect the result of updating the standard fingerprint data.
S103: and obtaining distinguishing characteristic data according to the comparison fingerprint data included in the comparison fingerprint data set and the standard fingerprint data.
The comparison fingerprint data can be data of one fingerprint or data of a plurality of fingerprints, and is used for further comparison with standard fingerprint data to obtain distinguishing characteristic data.
In some possible implementations, the embodiment of the present application provides a specific implementation manner for obtaining the distinguishing characteristic data, which is specifically referred to below.
S104: updating the standard fingerprint data based on the discriminating characteristic data.
The distinguishing characteristic data can be different characteristic data in the comparison fingerprint data and the standard fingerprint data. The update may be by adding the discriminating characteristic data to the standard fingerprint data.
It should be understood that the steps of S101-S104 described above for implementing the method for updating standard fingerprint data may be executed when the resources are idle, so as to save the resources and improve the efficiency.
Based on the relevant content of S101-S104, the distinguishing feature data is obtained by acquiring the comparison fingerprint data set and the standard fingerprint data of the authentication object and according to the comparison fingerprint data and the standard fingerprint data included in the comparison fingerprint data set, and finally the standard fingerprint data is updated based on the distinguishing feature data. Therefore, the standard fingerprint data is updated by comparing the fingerprint data, and the obtained standard fingerprint data is more accurate, so that the fingerprint identification efficiency is improved. Meanwhile, the method can avoid re-entering of standard fingerprint data into the authentication object, can reduce processing steps of fingerprint updating of the authentication object, and improves experience of the authentication object.
In a possible implementation manner, the embodiment of the present application provides three specific implementation manners for obtaining a comparison fingerprint data set of an authentication object.
The first method comprises the following steps:
the embodiment of the application provides a specific implementation mode for acquiring a comparison fingerprint data set of an authentication object, which comprises the following five steps:
a1: and acquiring target fingerprint data input by the authentication object in the process of successful authentication.
It should be understood that, during a successful authentication, only one fingerprint may be authenticated and the fingerprint may be authenticated a plurality of times, so that the target fingerprint data may be the fingerprint data that has been authenticated successfully, or may be the fingerprint data that has failed to be authenticated, and the number of the target fingerprint data may be one or more, and at least one of the fingerprint data that has been authenticated successfully.
A2: and adding the fingerprint data successfully authenticated in the target fingerprint data to the comparison fingerprint data set.
A3: and if the target fingerprint data comprises the fingerprint data which fails to be authenticated, acquiring the first authentication times of the fingerprint data which fails to be authenticated and the second authentication times of the fingerprint data which succeeds in authentication.
If the target fingerprint data includes fingerprint data failed in authentication, it needs to be determined whether the fingerprint data failed in authentication needs to be added to the comparison fingerprint data set, so that a first authentication frequency of the fingerprint data failed in authentication, that is, an authentication frequency when the authentication fails at this time needs to be obtained. And after at least one authentication, the second authentication times of the fingerprint data successfully authenticated, namely the authentication times when the fingerprint data passes the authentication.
A4: and calculating the difference value between the second authentication times and the first authentication times to obtain the target times.
For example, in the process of one successful authentication, the authentication object passes the authentication 4 times in total. Then the first authentication count of the fingerprint data for which authentication failed is 1 for the first authentication failure, and the second authentication count of the fingerprint data for which authentication succeeded is 4 for the fourth authentication success, and thus the target count is 3. Similarly, when the second authentication fails, the number of times of authentication of the fingerprint data that failed authentication is 2, and thus the corresponding number of times of obtaining the target is 2.
A5: and adding the fingerprint data which meets the condition that the target times are less than the preset times and fails in authentication to the comparison fingerprint data set.
Specifically, if the obtained target times are less than the preset times, the fingerprint data failing authentication is added to the comparison fingerprint data set. And if the obtained target times are not less than the preset times, the fingerprint data failed in authentication is not added to the comparison fingerprint data set.
Alternatively, the preset number of times may be determined according to the historical data, and the preset number of times is set by analyzing the number of times that the authentication fails to pass the authentication in the process of successful authentication of the plurality of authentication objects in the historical data. For example, the number of times of authentication when a plurality of authentication objects fail to pass authentication in the process of successful authentication is obtained, and the average of the number of times of authentication is calculated as a preset number of times. The authentication times of the plurality of authentication objects may include the authentication times of the authentication object in the current authentication process in the historical authentication process. Alternatively, the median, the mode, or the like of these authentication times may be selected as the preset times. It should be understood that, due to factors such as different environments in different regions and different age distributions of population in the region, the preset times can be adjusted correspondingly and set to any times reasonably.
It should be understood that the order for A2 is not limited in this process, and the order does not affect the result of obtaining the comparison fingerprint data set of the authentication object.
The step of obtaining the comparison fingerprint data set of the authentication object can determine that the target fingerprint data is the fingerprint data of the authentication object, and can ensure the reasonability of the target fingerprint data for updating the standard fingerprint data, so that the updated standard fingerprint data is complete and effective. And the second method comprises the following steps:
the embodiment of the application provides a specific implementation mode for acquiring a comparison fingerprint data set of an authentication object, which comprises the following five steps:
b1: and acquiring target fingerprint data input by the authentication object in the successful authentication process.
The explanation about the target fingerprint data is mentioned in the above first mode and will not be described in detail.
B2: and adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set.
B3: if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a first authentication time of the fingerprint data failed in authentication and a second authentication time of third fingerprint data, wherein the second authentication time of the third fingerprint data is adjacent to the first authentication time of the fingerprint data failed in authentication, and the second authentication time of the third fingerprint data is behind the first authentication time of the fingerprint data failed in authentication.
If the target fingerprint data includes the fingerprint data which fails to be authenticated, whether the fingerprint data which fails to be authenticated needs to be added into the comparison fingerprint data set needs to be judged, and therefore the first authentication time of the fingerprint data which fails to be authenticated, namely the time of the authentication failure, and the second authentication time of the third fingerprint data, namely the time of the fingerprint re-authentication after the authentication failure, need to be obtained.
B4: and calculating a target time interval between the second authentication time and the first authentication time.
For example, in the process of one successful authentication, the authentication object passes the authentication after being authenticated 4 times. Then assume that for the first authentication failure, the first time instant of the fingerprint data of the authentication failure is 8:00:00, when the second authentication time of the third fingerprint data, that is, the second authentication fails, the time of the fingerprint data which fails to be authenticated is 8:00:02, then the target time interval should be 2 seconds. Assume that the time of the third authentication failure is 8:00:03, then for the second authentication, the target time interval for the fingerprint data that failed authentication is 1 second.
B5: and adding the fingerprint data of which the target time interval is smaller than a preset time interval and which fails in authentication to the comparison fingerprint data set.
Specifically, if the target time interval is smaller than the preset time interval, the fingerprint data which fails to be authenticated is added to the comparison fingerprint data set. And if the target time interval is not less than the preset time interval, the fingerprint data failed in authentication is not added into the comparison fingerprint data set.
Alternatively, the preset time interval may be determined according to the historical data, and the preset time interval is set by analyzing a time interval from when the authentication fails to be authenticated again in the process of successful authentication of the plurality of authentication objects in the historical data. For example, in the process of successful authentication of a plurality of authentication objects, the time intervals between two adjacent authentications from authentication failure to next authentication are obtained, the time intervals are sorted in the order from small to large, the time intervals are gradually increased from the minimum time interval until fifty percent of the total time interval is covered, a corresponding time interval is obtained, and the obtained time interval is used as a preset time interval. It should be understood that fifty percent is just one exemplary range provided in the present embodiment. Alternatively, the preset time interval may be set by calculating an average, median, or mode of the plurality of time intervals, or the like. It should be understood that, due to factors such as different environments in different regions, different age distributions of population in the region, etc., the preset time interval may be adjusted accordingly and set as any time interval.
It should be understood that the order for B2 is not limited in this process, and the order does not affect the result of obtaining the comparison fingerprint data set of the authentication object.
The step of obtaining the comparison fingerprint data set of the authentication object can determine that the target fingerprint data is the fingerprint data of the authentication object, and can ensure the reasonability of the target fingerprint data for updating the standard fingerprint data, so that the updated standard fingerprint data is complete and effective.
And the third is that:
the embodiment of the application provides a specific implementation mode for acquiring a comparison fingerprint data set of an authentication object, which comprises the following eight steps:
c1: and acquiring target fingerprint data input by the authentication object in the successful authentication process.
The explanation about the target fingerprint data is mentioned in the above first mode and will not be described in detail.
C2: and adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set.
C3: if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a third authentication frequency of the fingerprint data failed in authentication and a fourth authentication frequency of the fingerprint data successful in authentication;
if the target fingerprint data includes fingerprint data which fails to be authenticated, whether the fingerprint data which fails to be authenticated needs to be added to the comparison fingerprint data set needs to be judged. Therefore, a third authentication frequency of the fingerprint data that fails to be authenticated, that is, the authentication frequency when the authentication fails this time, needs to be acquired. And after at least one authentication, the fourth authentication times of the fingerprint data successfully authenticated, namely the authentication times when the fingerprint data passes the authentication.
C4: and calculating the difference between the fourth authentication times and the third authentication times to obtain target times.
The specific calculation method is the same as A4 in the first method, and is not described again.
C5: and determining the fingerprint data with the target times smaller than the preset times and the authentication failure as fourth fingerprint data.
Specifically, if the obtained target times are less than the preset times, the corresponding fingerprint data with authentication failure is used as fourth fingerprint data, and the reasonableness of the fourth fingerprint data added to the comparison fingerprint data set is further analyzed. And if the obtained target times are not less than the preset times, not adding the failed fingerprint data into the comparison fingerprint data set.
The explanation of the preset times is the same as that of A5 in the first embodiment, and is not repeated herein.
C6: and acquiring a third authentication time of the fourth fingerprint data and a fourth authentication time of fifth fingerprint data, wherein the fourth authentication time of the fifth fingerprint data is adjacent to the third authentication time of the fourth fingerprint data, and the fourth authentication time of the fifth fingerprint data is after the third authentication time of the fourth fingerprint data.
In order to ensure that the standard fingerprint data obtained by updating the fingerprint data failed in authentication is more accurate and effective, the target time interval needs to be acquired.
Specifically, a third authentication time of the fourth fingerprint data, that is, a time at which this authentication fails, and a fourth authentication time of the fifth fingerprint data, that is, a time at which the fingerprint is authenticated again after this authentication fails, are acquired.
C7: and calculating a target time interval between the fourth authentication time and the third authentication time.
The specific calculation method is the same as B4 in the second method, and is not described again.
C8: and adding the fourth fingerprint data of which the target time interval is smaller than a preset time interval to the comparison fingerprint data set.
Specifically, if the target time interval is smaller than the preset time interval, the fourth fingerprint data is added to the comparison fingerprint data set. And if the target time interval is not less than the preset time interval, the fourth fingerprint data is not added to the comparison fingerprint data set.
The explanation of the preset time interval is the same as that of B5 in the second embodiment, and is not repeated herein.
It should be understood that the order for C2 is not limited in this process, and the order does not affect the result of obtaining the comparison fingerprint data set of the authentication object.
In the step of acquiring the comparison fingerprint data set of the authentication object, the target fingerprint data input by the authentication object is analyzed twice, and only when the authentication times and the time interval both meet the preset conditions, the corresponding fingerprint data failed in authentication is added to the fingerprint comparison data set, so that the target fingerprint data is the fingerprint data of the authentication object, the reasonability of the target fingerprint data used for updating the standard fingerprint data can be further ensured, and the updated standard fingerprint data is complete and effective.
In a possible implementation manner, an embodiment of the present application provides S103: the specific implementation mode of obtaining the distinguishing characteristic data according to the comparison fingerprint data and the standard fingerprint data which are included in the comparison fingerprint data set comprises the following steps:
d1: and taking comparison fingerprint data which belongs to a preset data length in the target comparison fingerprint data as first fingerprint data, wherein the target comparison fingerprint data is one comparison fingerprint data in the comparison fingerprint data set.
Specifically, one comparison fingerprint data is selected from the comparison fingerprint data set as target comparison fingerprint data for comparison with the standard fingerprint data.
The preset data length can be determined according to the data length of the target comparison fingerprint data. For example, the data length of the target comparison fingerprint data may be set as a preset data length, and the target comparison fingerprint data may be set as the first fingerprint data.
D2: and taking the standard fingerprint data belonging to the preset data length in the standard fingerprint data as second fingerprint data.
Optionally, the preset data length may also be preset, and data with the preset data length is selected from the target comparison fingerprint data and the standard fingerprint data, and is correspondingly used as the first fingerprint data and the second fingerprint data.
D3: and determining the same data in the first fingerprint data and the second fingerprint data as first data, wherein the ratio of the data length of the first data in the preset data length exceeds a preset threshold value.
Wherein, the preset threshold value is preferably nineteen-point seven percent. It is understood that the preset threshold may be set to any value according to the region or the age distribution of the authentication object in the region.
D4: and determining the data which is not the same in the first fingerprint data and the second fingerprint data as second data.
D5: and taking the second data with the data type of a fingerprint grain breakpoint as the distinguishing characteristic data.
As for the above D3, D4 and D5, specifically, the same data of the first fingerprint data and the second fingerprint data is taken as the first data, and the same data of the first fingerprint data and the second fingerprint data is taken as the second data. The ratio of the data length of the first data in the preset data length is calculated, and the data type of the second data is analyzed. And if the proportion of the data length of the first data in the preset data length exceeds a preset threshold value and the data type of the second data is a fingerprint line breakpoint, taking the second data as distinguishing characteristic data. And if the proportion of the data length of the first data in the preset data length does not exceed the preset threshold value or the data type of the second data is not the fingerprint line breakpoint, not taking the second data as the distinguishing characteristic data.
By acquiring the distinguishing characteristic data meeting the requirements, the characteristic data can be further ensured to be the distinguishing characteristic data of the authentication object, and the rationality of data selection is ensured due to the strict requirement for selecting the distinguishing characteristic data, so that the updated standard fingerprint data is complete and effective.
For the sake of understanding, the following describes the method for updating standard fingerprint data in a specific application scenario:
and in the process of handling the service once, the client authenticates the fingerprint for three times and passes the identity authentication. In the following step 9:00:00 first input of fingerprint, authentication failure, 9:00:05 second fingerprint input, authentication fails, at 9:00:07 inputting the fingerprint for the third time, the authentication is successful, and the identity authentication is passed.
After the client transacts the business, the system starts to update the standard fingerprint data of the client when the resources are idle.
Specifically, the system acquires all fingerprint data input by the client when the client transacts the business, and analyzes the fingerprint data.
Firstly, standard fingerprint data of a client is acquired based on identity information of the client.
And adding the fingerprint data of the client which is successfully authenticated for the third time into the comparison fingerprint data set.
Then, the number of authentication times of acquiring the fingerprint data when the first authentication fails is 1, the number of authentication times of acquiring the fingerprint data when the authentication succeeds is 3, and the target number of times corresponding to the fingerprint data when the first authentication fails is 2.
Since the preset number of times is 3 and the target number of times is less than the preset number of times, the time for acquiring the first input fingerprint is 9:00:00, the time of inputting the fingerprint for the second time is 9:00:05, the time interval corresponding to the fingerprint data when the first authentication fails is calculated to be 5 seconds.
Because the preset time interval is 4 seconds and is greater than the preset time interval, the fingerprint data which is input for the first time and fails in authentication is not added into the comparison fingerprint data set.
Similarly, the number of authentication times for acquiring the fingerprint data when the second authentication fails is 2, the number of authentication times for acquiring the fingerprint data when the authentication succeeds is 3, and the target number of times for acquiring the fingerprint data when the second authentication fails is 1.
Since the preset number of times is 3 and the target number of times is less than the preset number of times, the time for acquiring the second input fingerprint is 9:00:05, the time for inputting the fingerprint for the third time is 9:00:07, calculating the time interval corresponding to the fingerprint data when the second authentication fails to be 2 seconds.
Because the preset time interval is 4 seconds and is smaller than the preset time interval, the fingerprint data which is input for the second time and fails in authentication is added to the comparison fingerprint data set.
At this time, the fingerprint data input by the client for the second time and the fingerprint data input for the third time and successfully authenticated are added to the comparison fingerprint data set.
After acquiring the comparison fingerprint data set and the standard fingerprint data, the system randomly selects the fingerprint data in the comparison fingerprint data set for further processing.
Specifically, the fingerprint data input for the second time and failed in authentication is selected as target comparison fingerprint data, and the data length of the fingerprint data is used as the preset data length.
And selecting index data with preset data length from the standard fingerprint data, and comparing the index data with the fingerprint data which fails in authentication.
And obtaining the same data and different data through comparison.
Through calculation and analysis of the system, the proportion of the data length of the same data in the preset data length is ninety-nine-eight percent and exceeds ninety-nine-seven percent of the preset threshold value. And the data type of different data is the fingerprint line breakpoint, so the data is determined as the distinguishing characteristic data and is finally added into the standard fingerprint data.
Similarly, the fingerprint data input for the third time and successfully authenticated is selected for further processing. The processing procedure is the same as that of the fingerprint data which fails in authentication, and is not described again.
Through calculation and analysis, the proportion of the data length of the same data in the preset data length is ninety-nine-eight percent, but the data types of different data are not fingerprint grain break points, so the different data cannot be used as distinguishing characteristic data and cannot be added into standard fingerprint data.
After the analysis and processing of the system, finally, the fingerprint data which is input by the client for the second time and fails in authentication is used for updating the standard fingerprint data, and when the client transacts the business again, the system performs fingerprint authentication by taking the updated standard fingerprint data as the basis. And after the business is transacted again, the system can continuously use the method to update the standard fingerprint data of the user when the resources are idle. Therefore, the standard fingerprint data is updated by comparing the fingerprint data, and the obtained standard fingerprint data is more accurate, so that the fingerprint identification efficiency is improved. Meanwhile, the method can avoid re-entering of standard fingerprint data into the authentication object, can reduce processing steps of fingerprint updating of the authentication object, and improves experience of the authentication object.
Referring to fig. 2, which is a block diagram of an apparatus for updating standard fingerprint data according to an embodiment of the present application, the apparatus includes:
a fingerprint collection module 201, configured to obtain a comparison fingerprint data set and standard fingerprint data of an authentication object;
the fingerprint data processing module 202 is configured to analyze comparison fingerprint data and standard fingerprint data included in the comparison fingerprint data set, and acquire distinguishing feature data;
and the fingerprint updating module 203 is used for updating the standard fingerprint data based on the distinguishing characteristic data.
Optionally, the fingerprint collection module 201 is configured to obtain target fingerprint data input by the authentication object in a process of successful authentication; adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set; acquiring a first authentication frequency of the fingerprint data which fails to be authenticated and a second authentication frequency of the fingerprint data which succeeds to be authenticated in the target fingerprint data; calculating the difference value between the second authentication times and the first authentication times to obtain target times; and adding the fingerprint data meeting the condition that the target times are less than the preset times and failing to be authenticated to the comparison fingerprint data set.
Optionally, the fingerprint collection module 201 is configured to obtain target fingerprint data input by the authentication object in a process of successful authentication; adding successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set; if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a first authentication time of the fingerprint data failed in authentication and a second authentication time of third fingerprint data, wherein the second authentication time of the third fingerprint data is adjacent to the first authentication time of the fingerprint data failed in authentication, and the second authentication time of the third fingerprint data is behind the first authentication time of the fingerprint data failed in authentication; calculating a target time interval between the second authentication time and the first authentication time; and adding the fingerprint data of which the target time interval is smaller than a preset time interval and which fails in authentication to the comparison fingerprint data set.
Optionally, the fingerprint collection module 201 is configured to obtain target fingerprint data input by the authentication object in a process of successful authentication; adding successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set; if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a third authentication frequency of the fingerprint data failed in authentication and a fourth authentication frequency of the fingerprint data successful in authentication; calculating the difference value between the fourth authentication times and the third authentication times to obtain target times; determining the fingerprint data of which the target times are less than the preset times and which fail to be authenticated as fourth fingerprint data; acquiring a third authentication time of the fourth fingerprint data and a fourth authentication time of fifth fingerprint data, wherein the fourth authentication time of the fifth fingerprint data is adjacent to the third authentication time of the fourth fingerprint data, and the fourth authentication time of the fifth fingerprint data is after the third authentication time of the fourth fingerprint data; calculating a target time interval between the fourth authentication time and the third authentication time; and adding the fourth fingerprint data of which the target time interval is smaller than a preset time interval to the comparison fingerprint data set.
Optionally, the preset time interval is determined according to a time interval of historical re-authentication.
Optionally, the fingerprint data processing module 202 is configured to use comparison fingerprint data that belongs to a preset data length in the target comparison fingerprint data as first fingerprint data; the target comparison fingerprint data is one comparison fingerprint data in the comparison fingerprint data set; taking the standard fingerprint data belonging to the preset data length in the standard fingerprint data as second fingerprint data; determining the same data in the first fingerprint data and the second fingerprint data as first data, wherein the proportion of the data length of the first data in the preset data length exceeds a preset threshold; determining data which is different from the first fingerprint data and the second fingerprint data as second data; and taking the second data with the data type of the fingerprint grain break point as the distinguishing characteristic data.
Based on the method for updating standard fingerprint data provided in the foregoing method embodiment, an embodiment of the present application further provides a device for updating standard fingerprint data, see fig. 3, which shows a structure diagram of the device for updating standard fingerprint data provided in the embodiment of the present application, and as shown in fig. 3, the device includes a processor 320 and a memory 310:
the memory 310 is used for storing a computer program and transmitting the computer program to the processor;
the processor 320 is configured to execute the method for updating standard fingerprint data according to the instructions in the computer program.
Based on the method for updating standard fingerprint data provided in the foregoing method embodiment, an embodiment of the present application provides a computer-readable storage medium, see fig. 4, which shows a schematic diagram of a computer-readable storage medium provided in an embodiment of the present application, and as shown in fig. 4, the computer-readable storage medium is used for storing a computer program 410, and the computer program 410 is used for executing the method for updating standard fingerprint data described in the foregoing embodiment.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, and the units and modules described as separate components may or may not be physically separate. In addition, some or all of the units and modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The foregoing is directed to embodiments of the present application and it is noted that numerous modifications and adaptations may be made by those skilled in the art without departing from the principles of the present application and are intended to be within the scope of the present application.

Claims (10)

1. A method of updating standard fingerprint data, comprising:
acquiring a comparison fingerprint data set of an authentication object, wherein the comparison fingerprint data set comprises at least one comparison fingerprint data, and the comparison fingerprint data set comprises fingerprint data which is successfully authenticated;
acquiring standard fingerprint data of the authentication object, wherein the standard fingerprint data is used for authenticating the fingerprint data;
obtaining distinguishing feature data according to comparison fingerprint data and the standard fingerprint data which are included in the comparison fingerprint data set;
updating the standard fingerprint data based on the discriminating characteristic data.
2. The method for updating standard fingerprint data of claim 1, wherein the obtaining of the comparison fingerprint data set of the authentication object comprises:
acquiring target fingerprint data input by the authentication object in the successful authentication process;
adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set;
if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a first authentication frequency of the fingerprint data failed in authentication and a second authentication frequency of the fingerprint data successful in authentication;
calculating the difference between the second authentication times and the first authentication times to obtain target times;
and adding the fingerprint data which meets the condition that the target times are less than the preset times and fails in authentication to the comparison fingerprint data set.
3. The method for updating standard fingerprint data of claim 1, wherein the obtaining of the comparison fingerprint data set of the authentication object comprises:
acquiring target fingerprint data input by the authentication object in the successful authentication process;
adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set;
if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a first authentication time of the fingerprint data failed in authentication and a second authentication time of third fingerprint data, wherein the second authentication time of the third fingerprint data is adjacent to the first authentication time of the fingerprint data failed in authentication, and the second authentication time of the third fingerprint data is behind the first authentication time of the fingerprint data failed in authentication;
calculating a target time interval between the second authentication time and the first authentication time;
and adding the fingerprint data of which the target time interval is smaller than a preset time interval and which fails to be authenticated to the comparison fingerprint data set.
4. The method for updating standard fingerprint data of claim 1, wherein the obtaining of the comparison fingerprint data set of the authentication object comprises:
acquiring target fingerprint data input by the authentication object in the successful authentication process;
adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set;
if the target fingerprint data comprises fingerprint data failed in authentication, acquiring a third authentication frequency of the fingerprint data failed in authentication and a fourth authentication frequency of the fingerprint data successful in authentication;
calculating the difference value between the fourth authentication times and the third authentication times to obtain target times;
determining the fingerprint data of which the target times are less than the preset times and which fail to be authenticated as fourth fingerprint data;
acquiring a third authentication time of the fourth fingerprint data and a fourth authentication time of fifth fingerprint data, wherein the fourth authentication time of the fifth fingerprint data is adjacent to the third authentication time of the fourth fingerprint data, and the fourth authentication time of the fifth fingerprint data is after the third authentication time of the fourth fingerprint data;
calculating a target time interval between the fourth authentication time and the third authentication time;
and adding the fourth fingerprint data of which the target time interval is smaller than a preset time interval to the comparison fingerprint data set.
5. Method for updating standard fingerprint data according to claim 3 or 4, wherein said preset time interval is determined according to the time interval of historical re-authentication.
6. The method of updating standard fingerprint data of claim 1, wherein said updating said standard fingerprint data based on said distinctive feature data comprises:
taking comparison fingerprint data which belong to preset data length in the target comparison fingerprint data as first fingerprint data; the target comparison fingerprint data is one comparison fingerprint data in the comparison fingerprint data set;
taking the standard fingerprint data belonging to the preset data length in the standard fingerprint data as second fingerprint data;
determining the same data in the first fingerprint data and the second fingerprint data as first data, wherein the proportion of the data length of the first data in the preset data length exceeds a preset threshold;
determining data which are different in the first fingerprint data and the second fingerprint data as second data;
and taking the second data with the data type of a fingerprint grain breakpoint as the distinguishing characteristic data.
7. An apparatus for updating standard fingerprint data, comprising:
the fingerprint collection module is used for acquiring a comparison fingerprint data set and standard fingerprint data of an authentication object;
the fingerprint data processing module is used for analyzing the comparison fingerprint data and the standard fingerprint data which are included in the comparison fingerprint data set to acquire distinguishing characteristic data;
and the fingerprint updating module is used for updating the standard fingerprint data based on the distinguishing characteristic data.
8. The apparatus for updating standard fingerprint data of claim 7, wherein the fingerprint collection module is configured to obtain target fingerprint data input by the authentication object during successful authentication; adding the successfully authenticated fingerprint data included in the target fingerprint data to the comparison fingerprint data set; acquiring a first authentication frequency of fingerprint data which fails to be authenticated and a second authentication frequency of fingerprint data which succeeds to be authenticated in the target fingerprint data; calculating the difference between the second authentication times and the first authentication times to obtain target times; and adding the fingerprint data which meets the condition that the target times are less than the preset times and fails in authentication to the comparison fingerprint data set.
9. An apparatus for updating standard fingerprint data, the apparatus comprising a processor and a memory:
the memory is used for storing a computer program and transmitting the computer program to the processor;
the processor is configured to perform the method of updating standard fingerprint data of any one of claims 1 to 6 according to instructions in the computer program.
10. A computer-readable storage medium for storing a computer program for performing the method of updating standard fingerprint data of any one of claims 1 to 6.
CN202210808993.XA 2022-07-11 2022-07-11 Method, device, equipment and medium for updating standard fingerprint data Pending CN115205909A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210808993.XA CN115205909A (en) 2022-07-11 2022-07-11 Method, device, equipment and medium for updating standard fingerprint data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210808993.XA CN115205909A (en) 2022-07-11 2022-07-11 Method, device, equipment and medium for updating standard fingerprint data

Publications (1)

Publication Number Publication Date
CN115205909A true CN115205909A (en) 2022-10-18

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