基于PCA 算法的人脸识别技术研究

Research of the Face Recognition Technology Based on PCA Algorithm

身处信息时代,为了保护信息安全,如何准确鉴定某个人的身份,已经成为社会各界的难点。作为生物识别技术的一个重要分支,人脸识别技术在商业、安全、身份认证等领域有着广泛的应用。通过对传统PCA、分块PCA、MPCA以及二维PCA的人脸识别算法中的特征抽取方法以及对算法取不同参数情况下的性能和算法间性能对比,得出二维PCA性能更优的结论,并以此为基础,通过软件工具设计出了基于以上四种方法的人脸识别技术的仿真系统。

In the information age,in order to protect information security,how to accurately identify a person’s identity,has become a difficult point for all walks of life.As an important branch of bioidentification technology,face recognition technology has a wide range of applications in business,security,identity authentication and other fields.Based on the traditional PCA,block of PCA and MPCA and two-dimensional PCA face recognition algorithm of feature extraction method and the algorithm performance under different parameters and performance comparison between algorithms,two-dimensional PCA performance better conclusions,and on this basis,through the software tools to design the face recognition technique based on the above four methods of simulation system.