Face recognition using discrete cosine transform and fuzzy linear discriminant analysis

doi:10.1007/978-3-642-23214-5_38

	Face recognition using discrete cosine transform and fuzzy linear discriminant analysis
	Zhang, Qi-Wen; Du, Wen-Xia; Yuan, Liu-Qing; Li, Ming
	2011
关键词	Discrete cosine transforms Discriminant analysis Extraction Feature extraction Frequency domain analysis Image coding Research laboratories Energy compaction Facial Expressions Feature extraction methods Frequency domains Linear discriminant analysis Lower frequency components Nearest Neighbor classifier Olivetti research laboratory database
卷号	224 CCIS
期号	PART 1
DOI	10.1007/978-3-642-23214-5_38
页码	286-293
英文摘要	In order to solve the problem of uncertainty that occurred in the field of face recognition because of the variations of the facial expressions, illuminations and poses as well, a new feature extraction method for face recognition is proposed in this paper. The method combines the DCT with FLDA. Firstly, DCT is performed on the entire face image to obtain all the components in the frequency domain. Due to the energy compaction, only the lower frequency components will be retained and thus, the dimension reduced features are obtained, then FLDA is employed to extract the most discriminating features. Finally, the nearest neighbor classifier is employed for classification. The results of experiments conducted on Olivetti Research Laboratory (ORL) database show that the proposed method is better than other methods in terms of accurate recognition rate. © 2011 Springer-Verlag.
会议录	Communications in Computer and Information Science
会议录出版者	Springer Verlag
语种	英语
ISSN号	18650929
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116301]
专题	计算机与通信学院
作者单位	School of Computer and Communication, LanZhou University of Technology, LanZhou, China
推荐引用方式 GB/T 7714	Zhang, Qi-Wen,Du, Wen-Xia,Yuan, Liu-Qing,et al. Face recognition using discrete cosine transform and fuzzy linear discriminant analysis[C]. 见:.