Face recognition attendance system based on PCA approach

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	Face recognition attendance system based on PCA approach
	Li Yanling ; Chen Yisong ; Wang Guoping
刊名	计算机辅助绘图设计与制造（英文版）
	2016
关键词	face recognition principal component analysis eigenface face recognition principal component analysis eigenface
英文摘要	This paper uses principal component analysis(PCA) to train the face and extract the characteristic value. This approach achieves the purpose of rapid attendance. PCA is an early and important approach for face recognization. It can reduce the dimension of face image space as well as describe the variation characteristics between different face images. The attendance system is a realtime system that requires shorter response time, for which PCA is a best choice. We use histogram equalization to eliminate the; Higher School Science and Technology Innovation Fund Project; Changzhi College Teaching Reform Fund Project; 2; 8-12; 26
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/479322]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li Yanling,Chen Yisong,Wang Guoping. Face recognition attendance system based on PCA approach[J]. 计算机辅助绘图设计与制造（英文版）,2016.
APA	Li Yanling,Chen Yisong,&Wang Guoping.(2016).Face recognition attendance system based on PCA approach.计算机辅助绘图设计与制造（英文版）.
MLA	Li Yanling,et al."Face recognition attendance system based on PCA approach".计算机辅助绘图设计与制造（英文版） (2016).