基于PCA算法的人脸识别研究及其GUI实现  

Research on Face Recognition and Its GUI Based on PCA Algorithm

作　　者：毕运锋 许钢[1] 江娟娟[1] 林园胜[1] 周伟峰[1] 吴益红[1] 

机构地区：[1]安徽工程大学检测技术与节能装置省级重点实验室,安徽芜湖241000

出　　处：《重庆工商大学学报（自然科学版）》2015年第3期31-36,共6页Journal of Chongqing Technology and Business University:Natural Science Edition

摘　　要：随着科学技术的飞速发展,传统的身份识别(如门禁卡,身份卡,口令等)安全系数比较低,容易被破解,而生物特征识别技术使得身份鉴别更加可靠,能够达到期望的安全系数;针对上述问题,介绍了一种人脸识别常用的算法及其算法的改进,并采用ORL数据库作为实验库进行了算法改进前后的识别率比较实验,最后在Matlab中通过图形化界面进行了验证实现。With the rapid development of science and technology, the safety factor of traditional identification such as access cards, identity cards, passwords, etc. is relatively low, and which are easy to be cracked. However biometric identification makes identity authentication more reliable, and can reach the safety factor expected. In order to solve the problems above, this paper presents a common face recognition algorithm and improves the algorithm, and then do comparison experiments on the recognition rate between the common algorithm and the improved algorithm based on the 0RL face database. Finally the results are validated by the graphical user interface on Matlab.

关 键 词：人脸识别 MATLAB 图形化界面 

分 类 号：TP201[自动化与计算机技术—检测技术与自动化装置]