基于DWT和BP神经网络的人脸识别方法

提出了将人脸图像的离散小波变换DWT和BP神经网络相结合以达到人脸识别的方法。由于离散小波变换具有良好的多尺度特征表达能力,能将图像的大部分能量集中到最低分辨率子图像,高频部分则对应于图像的边缘和轮廓,能很好的表征人脸图像的特征。而BP神经网络具有很强的分类能力,并且可以运用神经网络的学习算法进行学习。实验表明:二者的结合对人脸识别具有计算量小,识别率高的优点,有很强的实用性。

Face Recognition Based on Discrete Wavelet Transform and BP Neural Network

This paper i ntroduces a method of face recognition based on discrete wavelet transform and BP neural network.Discrete wavelets transform has a good ability to express the multi-resolution characteristics.After the wavelets transform of an image, its most energy is mainly concentrated on its lowest resolution and the boundary and profile of the image are contained in the high frequency part.The BP neural network is of the robust classification ability and can be trained by neural algorithm.The experimental ...