Multi-biological-feature identity recognition implementation method capable of being configured online

Abstract

The invention relates to an online configurable multi-biological characteristic identity recognition implementation method, which comprises an access control module, a biological characteristic sensing module, a WiFi-based microcontroller, a router and a server, and is characterized in that the biological characteristic sensing module is connected with the WiFi-based microcontroller, the biometric sensor is used for sensing biometric features, converting the biometric features into biometric feature data and transmitting the biometric feature data to the WiFi-based microcontroller, and the WiFi-based microcontroller is connected with the server through the router and is used for transmitting the biometric feature data to the server; the server performs feature matching calculation according to the transmitted biological feature data, generates a feedback data signal according to a calculation result and returns the feedback data signal to the WiFi-based microcontroller, and the WiFi-based microcontroller is connected with and drives the access control module; the WiFi-based microcontroller is used for converting and generating a level signal according to the feedback signal to control opening and closing of the access control module or the work of the biological characteristic sensing module. According to the method, data network transmission and intelligent control are realized.

Description

technical field [0001] The invention relates to the technical field of personal identification, in particular to a method for realizing identification of multiple biometric features that can be configured online. Background technique [0002] At present, personal identification technology has been widely used, such as identification, attendance, payment and other fields, which greatly facilitate people's production and life. Traditional identification methods mainly include passwords, passwords, certificates, etc., because of their separability, it is easy to cause forgery, embezzlement, and deciphering. The use of human body biometrics for identification has unique advantages, which are unique and unique to human individuals, such as fingerprints, faces, irises, and voices. Using them in the identification system can prevent forgery and embezzlement. However, in practical applications, a single recognition method cannot fully perform the important task of identity recognit...

AI Technical Summary

Problems solved by technology

However, in practical applications, a single recognition method cannot fully perform the important task of identity recognition. For example, the efficiency of fingerprint recognition will drop significantly when the air humidity is high, and face recognition may be misjudged after wearing a mask or makeup. The iris device is greatly affected by lens distortion and the cost is high, and the sound may be forged or artificially synthesized. Therefore, the integration of multiple biometrics and other identification technologies has become inevitable, such as face recognition used in mobile banking. Joint identification with SMS verification code, etc.

[0003] In the existing patents related to identification based on biometric features, a method of using certain biometric features for identification design is given, but there are still inconveniences in use

For example, in the patent CN101059878A "a two-door access control system and control method using biometric identification technology", a security field identification design method using human fingerprints as feature recognition is proposed. Unable to read under certain conditions

For example, in the patent CN102034288A "Intelligent access control system based on multi-biometric feature recognition", it is proposed to use two biometric features of face image and voice to provide a high-security identification device method, but the system lacks the network transmission function of data, resulting in possible There are certain difficulties in configuration

For example, in the patent CN2013102821450 "A Multi-Biometric Attendance System", a method for implementing attendance management based on two biometric features of face images and fingerprints is proposed, but it uses wired data transmission, which limits the flexibility of layout.

Images