基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由

于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份

验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征，

它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来

越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科

的研究热点。-Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects.