NDLI: A multiview face recognition based on combined feature with clonal selection

Content Provider	IEEE Xplore Digital Library
Author	Liu Fang Li Chaoyang
Copyright Year	2004
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Xidian Univ., Xi'an, China (Liu Fang; Li Chaoyang)
Abstract	The profile view of a face provides a complementary information, it is very important to face recognition. This paper construct novel the classification system combining both frontal mid profile views of faces can improve the classification accuracy and decrease cost tune. In this paper, we apply self-organizing map (SOM) and minor component (MC) to extract face feature from multiview and combine these features vector to a new combined feature set. Immune Clonal Selection Algorithm is applied to search for better feature sets trough rotation transformations, thus, one is help to reduce classifier cost. Then, support vector machine (SVM) is used as classifier, which have demonstrated high generalization capabilities. Simulation experiments were made on two different face test databases, achieving very high recognition result than PCA and Fisher methods with relative low classification cost.
Starting Page	1380
Ending Page	1384
File Size	850094
Page Count	5
File Format	PDF
ISBN	0780384067
DOI	10.1109/ICOSP.2004.1441583
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Costs Support vector machines Support vector machine classification Testing Principal component analysis Fingerprint recognition Speech recognition Neural networks Feature extraction
Content Type	Text
Resource Type	Article

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