人脸识别系统的设计与实现

随着社会信息化、网络化的发展,自动身份认证逐渐成为一种趋势,人脸识别以其特有的便利性成为当前研究的热点.在学习前人的图像处理技术基础上,综合考虑各方面条件,在算法上采用人脸识别领域中的HAAR方法对人脸进行检测,采用PCA方法进行人脸特征提取;在图像显示上采用JavaWeb开发的SSH框架对图像进行处理,将C++图像处理的便利条件和Java Web开发的友好效果结合起来.最终实现的功能是:从人脸图像库中找出与上传人脸最相似的前三个人脸图片,并显示他们的信息.

The design and realization of face recognition

With the development of social information and social networking, automated identity authentication has become a trend. The unique convenience of face recognition makes it a research focus. Based on the previous image processing technology and the overall consideration of various conditions, HAAR method of face recognition is used to detect faces, and PCA method is used to extract face features. In the image display, SSH which is from the Java Web development framework is used to process images, combining the facilities of C ＋＋ image processing and the friendly results of Java Web. The eventual function achieved is that it is able to find the first three most similar pictures to the uploaded face image from the face image database, and display their information.