Local fingerprint database configuration method and unlocking method for smart lock, device and equipment

A fingerprint data and configuration method technology, applied in the direction of acquiring/arranging fingerprints/palmprints, matching and classification, instruments, etc., can solve the problems of low efficiency and slow fingerprint comparison speed, reduce requirements, improve contrast efficiency, and reduce contrast The effect of calculation volume

Pending Publication Date: 2019-08-02
BULL GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present invention provides a local fingerprint database configuration, unlocking method, device and equipment of a smart lock, aiming to solve the problem of slow fingerprint comparison speed and low efficiency in the prior art

Method used

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  • Local fingerprint database configuration method and unlocking method for smart lock, device and equipment
  • Local fingerprint database configuration method and unlocking method for smart lock, device and equipment
  • Local fingerprint database configuration method and unlocking method for smart lock, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0081] See figure 1 , figure 1 It is a schematic flow diagram of a local fingerprint database configuration method of a smart lock according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0082] S101. Obtain commonly used fingerprint data entered by users and form a first fingerprint database;

[0083] S102. Obtain second-time frequently used fingerprint data entered by the user and form a second fingerprint database;

[0084] S103. Adjust the fingerprint data of the first fingerprint database and the second fingerprint database according to the fingerprint usage data of the user.

[0085] Wherein, the above-mentioned commonly used fingerprint data and secondary frequently used fingerprint data can be entered through the guidance of the terminal, for example, guide the user to use the commonly used finger to enter the fingerprint in the fingerprint collection area of ​​the terminal, and put a user label on it...

Embodiment 2

[0088] On the basis of Embodiment 1, the fingerprint usage data includes the frequency of fingerprint data comparison success, and the step of adjusting the fingerprint data of the first fingerprint library according to the user's fingerprint usage data includes:

[0089] within the first preset time, obtain the comparison success frequency of each fingerprint data in the first fingerprint database;

[0090] The first fingerprint database is optimized according to the frequency of successful comparison of each fingerprint data in the first fingerprint database.

[0091] Specifically, see figure 2 , figure 2 It is the schematic flow chart of the method of embodiment two, as figure 2 shown, including:

[0092] S201. Obtain the frequency of successful comparison of each fingerprint data in the first fingerprint database within a first preset time;

[0093] S202. Optimize the first fingerprint database according to the frequency of successful comparison of each fingerprint ...

Embodiment 3

[0097] On the basis of Embodiment 2, the step of optimizing the first fingerprint library according to the frequency of successful comparison of each fingerprint data in the first fingerprint library includes:

[0098] Judging whether there is fingerprint data in the first fingerprint database whose comparison success frequency is less than a preset first frequency threshold;

[0099] If it exists, the fingerprint data corresponding to the comparison success frequency less than the first frequency threshold is removed from the first fingerprint database.

[0100] Specifically, see image 3 , image 3 It is the schematic flow chart of the method of embodiment three, as image 3 shown, including:

[0101] S301. Judging whether there is fingerprint data in the first fingerprint database whose comparison success frequency is less than a preset first frequency threshold;

[0102] S302. If it exists, remove the fingerprint data corresponding to the comparison success frequency l...

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Abstract

The invention is applicable to the field of artificial intelligence, and provides a local fingerprint database configuration method and an unlocking method for a smart lock, a device and equipment. The local fingerprint database configuration method for the smart lock comprises the following steps of acquiring commonly used fingerprint data entered by a user and forming a first fingerprint database; acquiring secondarily used fingerprint data entered by the user and forming a second fingerprint database; and adjusting the fingerprint data of the first fingerprint database and the second fingerprint database according to the fingerprint usage data of the user. Since the fingerprint data stored in the first fingerprint database is the commonly used data, the amount of fingerprint data is small and the number of fingerprint data to be compared is small, thereby improving the comparison efficiency. In addition, since the number of fingerprint data to be compared is small, the amount of contrast calculation of fingerprint data is reduced and the requirements for hardware are reduced.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a local fingerprint database configuration and unlocking method, device and equipment for an intelligent lock. Background technique [0002] With the development of fingerprint recognition, smart locks based on fingerprint recognition are becoming more and more popular in the market, and the speed of fingerprint comparison determines the user experience of smart locks. Fingerprint comparison is divided into three steps: image acquisition, signature extraction, and comparison of signatures one by one in the fingerprint database. In the existing smart locks, the fingerprint database is often very large, and it takes a lot of time to compare one by one in the fingerprint database. Especially in low-power embedded devices such as smart locks, the performance of the chips used is not high, and it takes a lot of time and system overhead to compare fingerprints, and there is a pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C9/00G06K9/00
CPCG07C9/00563G06V40/1365
Inventor 孙思远叶志鹏缪观山刘伶俐
Owner BULL GRP CO LTD
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