Dual-factor identity authentication method and system based on voiceprint recognition and face recognition

Abstract

The present invention relates to a dual-factor identity authentication method and system based on voiceprint recognition and face recognition. The authentication method comprises the steps of: detecting a user's face image; marking key points; checking face similarity by a face authentication unit; generating a password; collecting voice data and user ID; processing the voice data; checking the password by a text content checking unit; checking the voiceprint similarity by a voiceprint authentication unit. The authentication system comprises, at a client end, a face detection unit, a face key point calibration unit, a face authentication unit, a first password generation unit and a voice end point detection unit, and at a sever end, a voice recognition unit, the text content checking unit, a voiceprint feature vector extraction unit and the voiceprint authentication unit. The dual-factor identity authentication method and system have the excellent effects that voice recognition is added based on voiceprint and face recognition, and security and reliability of authentication are improved; the password is independently performed at the client end and the server end, and is not transmitted between the server end and the client end in a form of text or encrypted text, thus high security is achieved.

Description

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AI Technical Summary

Benefits of technology

This technology uses both speech-to-text (VT) analysis for verification purposes while also adding facial recognition techniques like fingerprints to enhance secure access authorization systems such as Remote Identity Authentication Protocol (RACP). By combining these two technologies together, this system can provide better protection against attacks from external sources without compromising its integrity during communication over an internet connection.

Problems solved by technology

The patented problem addressed by this patents relates to improving internet safety measures against denial of service (DoS) attacks caused by compromised network access points like firewalls and routers. This issue arises because current methods require manual entry into personal data stores from remote servers, making them time-consuming and prone to errors due to factors like poor communication quality between client machines and server networks.

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