说明：  一、课题介绍 该课题为基于MATLAB平台的PCA的人脸识别图像考勤系统。传统的人脸识别都是直接人头和人头的对比，现实意义不大，这块都做烂了，不易通过毕设答辩，而且论文不好写。该课题识别原理为：从一副生活照中寻找到人脸，并且分割人脸图象，利用PCA算法进行降维，和库里图片进行对比，输出目标人脸以及记录识别的时间，可以统计人脸打卡的当月次数，从而统计出勤率。该课题还可以继续二次开发，做成库内外人脸的识别，如果是库外人脸则实现报警。GUI界面有清除数据功能，统计工资等功能。 二、基本流程 读入图片，人脸定位，人脸分割，人脸识别，库内外报警 三、运行截图[要求有一定编程功底，懂得简单调试，看得懂框架，懂算法，小白需要时间更久点]
(This topic is based on the MATLAB platform PCA face recognition image attendance system. The traditional face recognition is the direct head and head of the comparison, the practical significance is not great, this is done rotten, not easy to pass the final defense, and the paper is not easy to write. The recognition principle of this project is: find the face from a pair of life photos, segment the face image, use PCA algorithm to reduce the dimension, compare with the library image, output the target face and record the recognition time, so as to count the frequency of face punch in the month, so as to count the attendance rate. The subject can also continue the secondary development to make face recognition inside and outside the library. If it is a face outside the library, the alarm will be realized. The GUI interface has the function of clearing data and calculating wages.)