Living person identity authentication method based on voice pattern and image features

Abstract

The invention discloses a living person identity authentication method based on voice pattern and image features. A self-recognition database and an intelligent living person recognition database are arranged, video information and audio information are acquired when an operator reads random content, and if the operator is himself and the intelligent living person and emotion are normal and face recognition, lip language recognition, voiceprint recognition, voice recognition, expression variance recognition and emotional state recognition are passed, identity authentication is successful. Compared with the methods in the prior art, multiple biological features are fused to simultaneously verify the person himself and intelligent living person identity and the normal emotional state without being directly contacted with the operator so that the method is easy to accept and convenient for popularization and application.

Description

technical field [0001] The invention relates to an identity verification method, in particular to a real person identity verification method based on sound-type-image features. Background technique [0002] With the rapid development of information technology and network technology, people have more and more demand for identification technology, and the requirements for its safety and reliability are becoming more and more stringent. The identification technology based on traditional password authentication has exposed many shortcomings in the actual information network application, and the identification technology based on biometric identification has become increasingly mature in recent years and has shown great advantages in practical applications. The traditional single face recognition, voiceprint recognition and fingerprint recognition can only guarantee that the characteristics of the person can be effectively verified, but cannot guarantee that the operator is the r...

AI Technical Summary

Problems solved by technology

The identification technology based on traditional password authentication has exposed many shortcomings in the actual information network application, and the identification technology based on biometric identification has become increasingly mature in recent years and has shown great advantages in practical applications. The traditional single face recognition, voiceprint recognition and fingerprint recognition can only guarantee that the characteristics of the person can be effectively verified, but cannot guarantee that the operator is the person himself. As a result, criminal cases using photos, fingerprint films and recordings often appear in the newspapers

[0003] Due to its own limitations, such as sensor noise, identity photo fraud, and the use of video recordings, the security of this identification technology based on a single biometric feature is greatly reduced, and it is difficult to apply in practice.

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