Method used for unlocking using human body double-characteristic identification module

A feature recognition and face recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of few fingerprint features, difficult imaging, affecting the accuracy of fingerprint recognition, etc., to improve security, improve The effect of the degree of protection

Inactive Publication Date: 2016-03-02
TOEC TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Disadvantages of fingerprint identification: 1. Some people or certain groups have few fingerprint features and are difficult to image; 2. Every time fingerprint identification is used, the user's fingerprints will be left on the fingerprint collection head, and these fingerprints

Method used

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  • Method used for unlocking using human body double-characteristic identification module
  • Method used for unlocking using human body double-characteristic identification module
  • Method used for unlocking using human body double-characteristic identification module

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with accompanying drawing:

[0026] refer to figure 1 , to open the secret cabinet, you need to place the correct finger on the fingerprint head 3 of the human body dual feature recognition module, the fingerprint driver board 6 reads the fingerprint information, and combines the read information with the static fingerprint library in the fingerprint driver board 6 If the matching is successful, the location information will be returned to the system main control board 2 through the USB interface. Afterwards, the system main control board 2 controls the high-definition camera 1 to collect the face feature information of the opened person and compare it with the face database. Compared, if successful, then the system main control board 2 controls the door lock driving board 4 according to the returned position information, and each switching value corresponds to the electromagnetic lock 5 of a cabinet d...

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Abstract

The invention discloses a method used for unlocking using a human body double-characteristic identification module. According to the method, two-stage identification including fingerprint identification and human face identification is adopted; the human body double-characteristic identification module comprises a system main control panel, a high sharpness camera, a fingerprint head, a fingerprint driver board, and a door lock drive board. According to the method, human face identification is adopted, so that safety of locksets is improved, and human face identification can be used for solving a problem caused by unavailable fingerprint identification. Under normal conditions, when an operator is going to unlock a lock, a finger is put on a fingerprint reader for fingerprint identification, when the fingerprint is identified to be right, the face is turned to the camera of the human body double-characteristic identification module, and the camera is used for human face identification, and unlocking of the lock is realized when the face identified to be right. When fingerprint identification is impossible to carry out, human face identification is carried out, and unlocking of the lock is realized when the face identified to be right. The priority of the human face identification is higher than that of fingerprint identification, so that lock protection grade is increased via double biological recognition.

Description

technical field [0001] The invention relates to a human body feature combination lock, in particular to a method for unlocking a lock using a human body double feature recognition module. Background technique [0002] Combination locks currently on the market are usually fingerprint combination locks, which are based on human body fingerprint identification in biometrics, and the lock can be opened after the user's fingerprint identification is correct. [0003] Fingerprint recognition algorithm is the key to realize fingerprint recognition, it directly determines the recognition rate, and is the core of fingerprint recognition technology. These algorithms are improving day by day. At present, the research on fingerprint identification technology has made great progress both in the front-end data collection and in the back-end fingerprint identification algorithm. Automatic Fingerprint Identification System (AFIS for short) collects, analyzes and compares living fingerprin...

Claims

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Application Information

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IPC IPC(8): G07C9/00G06K9/00
CPCG07C9/37G06V40/13G06V40/166
Inventor 王立徐经纬林鹏
Owner TOEC TECH
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