Intelligent access control system based on multi-biometric feature fusion

Abstract

The invention discloses an intelligent access control system based on multi-biometric feature fusion. The intelligent access control system comprises an image sensing collector, a sound sensing collector, a data processor and access control equipment; the image sensing collector is used for sensing a target, collecting face image information and sending the face image information to the data processor through a wireless communication module; the sound sensing collector is used for collecting sound information and sending the sound information to the data processor through the wireless communication module; the data processor is used for processing the received face image and sound information, fusing the feature information of the face image and the sound information, identifying, storingand training the feature information by virtue of a deep learning algorithm, and outputting a judgment result to the access control equipment; and the access control equipment is used for receiving the judgment result sent by the data processor and judging whether the access control responds or not. According to the invention, the defect of biological characteristic recognition in a single mode can be effectively overcome, and the safety of the access control system is improved.

Description

technical field [0001] The invention belongs to the theoretical technology of biological feature fusion, and specifically relates to an intelligent access control system based on the fusion of multiple biological features. Background technique [0002] With the rapid development of information technology in our country, the requirements for security in the field of security are getting higher and higher. For departments with extremely high security requirements, such as governments, enterprises, and the military, such as secret rooms, there are extremely high confidentiality requirements. At present, there are various access control systems, which are mainly divided into traditional access control systems and biometric access control systems. Traditional access control systems generally use passwords or IC cards for authentication. This authentication method is extremely inconvenient and there is a risk of forgetting to bring the card, forgetting the password, or the card i...

AI Technical Summary

Problems solved by technology

[0003] 1. Single biometric identification method

At present, common biometric access control systems include fingerprint recognition, palmprint vein recognition, face recognition, iris recognition, voice recognition, etc. These systems only verify a single biometric feature, and the identity of the person is determined after the verification is successful. The probability is relatively high;

[0004] 2. Multiple biometric features of the same system are authenticated separately, without fusion discrimination

The selection of this fusion layer will lose a certain part of the information carried in the biometric information, which is different from the original information characteristics, resulting in a relatively large difference in the authentication results.

[0006] 4. The biometric identification access control system of most departments is only an authentication process, without the function of systematic learning, and the recognition rate will not increase with the increase of authentication feature information

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