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Solving the small sample size problem in face recognition using generalized discriminant analysis

โœ Scribed by Peg Howland; Jianlin Wang; Haesun Park

Book ID
108234319
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
453 KB
Volume
39
Category
Article
ISSN
0031-3203

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A new LDA-based face recognition system
A new LDA-based face recognition system which can solve the small sample size problem
โœ Li-Fen Chen; Hong-Yuan Mark Liao; Ming-Tat Ko; Ja-Chen Lin; Gwo-Jong Yu ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 490 KB

A new LDA-based face recognition system is presented in this paper. Linear discriminant analysis (LDA) is one of the most popular linear projection techniques for feature extraction. The major drawback of applying LDA is that it may encounter the small sample size problem. In this paper, we propose