在智能手机平台上实现PCA人脸识别算法

Implementation of PCA Face Identification in Intelligent Mobile Telephone

人脸识别技术,是近几年在全球范围内迅速发展起来的计算机安全技术。以高端智能手机的安全应用为载体,结合主元分析(PCA Principle Component Analysis)法和多权值函数神经网络在人脸识别中的优势,利用非线性多权值函数神经网络实现多主元提取,以及多权值函数神经网络识别。给出了完成人脸图像的检测、特征向量提取、人脸图像识别相对应的硬件系统架构、人脸识别算法流程和算法实现类图。

Face identification is the safe technique of computer which has developed quickly within the scope of global in the last few years. This paper takes the safe application of the intelligent mobile phone as its cartier, integrates the advantages of PCA and multi weighted value function neural network for face identification, makes use of nonlinear multi weighted value function neural network to refine multi components, and multi weighted value function neural network face identification. This paper presents the hard system architecture, face identification algorithm and algorithm UML class diagrams which implement face detection, eigenvector refining, face identification.