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20

FGR
2000
IEEE

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Face Recognition Based on Multiple Facial Features

13 years 9 months ago

Face Recognition Based on Multiple Facial Features

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An automatic face recognition system based on multiple facial features is described in this paper. Each facial feature is represented by a Gabor-based complex vector and is localized by an automatic facial feature detection scheme. Two face recognition approaches, named Two-Layer Nearest Neighbor (TLNN) and Modular Nearest Feature Line (MNFL) respectively, are proposed. Both TLNN and MNFL are based on the multiple facial features detected for each image and their superiority in face recognition is demonstrated.

Rui Liao, Stan Z. Li

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Added	31 Jul 2010
Updated	31 Jul 2010
Type	Conference
Year	2000
Where	FGR
Authors	Rui Liao, Stan Z. Li

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