基于小波变换的人脸检测系统的实现

Face Detection System Based on Wavelet Transform

本文以Gabor小波变换理论为基础，采用模板匹配法定位人脸图像的眼睛，弹性匹配法对其余特征点进行搜索，最后利用弹性图簇的数据结构求得特征点的精确位置，提出了一种更优的人脸检测方法。通过MATLAB软件仿真结果表明，该方法能有效提高人脸的识别率。

In this paper, Gabor wavelet transform theory, the use of template matching face images of the eye positioning,elastic matching method to search for the remaining feature points,and finally the use of elastic graph data structure of the cluster obtained the exact location of featta＇e points is proposed a more excellent face detection method.Through the MATLAB software simulation results show that the method can effectively improve the face recognition rate.