融入唇语识别技术提升人脸识别安全性的研究

为了解决人脸识别的安全性问题,提高对恶意攻击人脸识别系统的安全防护,使人脸识别技术能够获得更广泛应用,本文提出了在人脸识别技术上融入一种基于深度神经网络的唇语识别技术的系统。与现有的唇语识别技术不同的是,该系统主要是识别用户的唇动习惯。运用本系统,用户在进行人脸识别的同时可按照检测方的提示,读出相应的内容,并在对用户的人脸进行验证的过程中,对用户通过唇动说出的内容分别实现唇动识别、比对,从而有效地提升人脸识别的安全性水平。实验结果表明,在故意针对人脸识别系统的攻击中,融入本技术的系统有更好的识别准确率。

Research on integrating lip language recognition technology to improve the security of face recognition

In order to solve the problem of face recognition security,improve the protection against malicious attacks on face recognition system,and make face recognition technology more widely used,this paper proposes a facial recognition technology based on deep neural network lip recognition system.Different from the existing lip recognition technology,the purpose of lip recognition is to identify the user’s lip habits.The system requires users to read out the corresponding contents according to the prompts of the detection party while carrying out face recognition.While verifying the user’s face,the system will carry out lip recognition and comparison on the contents spoken by the user through lip movement,so as to effectively improve the security level of face recognition.The experimental results show that the system integrated with this technology has better recognition accuracy in the face recognition system attack.