基于主成分分析的QR二维码人脸识别

QR code face recognition based on principal component analysis

随着人脸识别和二维码技术在各行各业得到广泛应用,把两种技术结合在一起,便于对数据进行传输和管理,也更具安全性。文章详细叙述了基于主成分分析的人脸特征提取的原理与方法,将其与QR二维码的编解码进行了结合。使用MATLAB作为工具平台,调用QR二维码编解码应用程序,进而实现了一个二维码人脸自动识别的系统原型。实验结果表明,该系统识别率较高,应用范围广,达到了预期效果。

With the wide application of face recognition and two-dimensional code technology in all walks of life,the combination of the two technologies is convenient for data transmission and management,and also has a certain role of confidentiality.Based on the above characteristics,this paper describes the principle and method of face feature extraction based on principal component analysis in detail,and combines it with QR code coding and decoding.Using MATLAB as a tool platform,the QR code codec application is called,and then a system prototype of automatic recognition of human face QR code is realized.The experimental results show that the system has a high recognition rate and a wide range of applications,achieving the desired results.