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Two-dimensional FLD for face recognition
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DOI：10.1016/j.patcog.2004.12.003.png)
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摘要
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This paper presents a new scheme of face image feature extraction, namely, the two-dimensional Fisher linear discriminant. Experiments on the ORL and the UMIST face databases show that the new scheme outperforms the PCA and the conventional PICA + FLD schemes, not only in its computational efficiency, but also in its performance for the task of face recognition. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keyword:
Fisher criterion
principal component analysis (PCA)
linear discriminant analysis (LDA)
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IF:
7.6
论文数:
1.3W
被引数:
4.5W
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A new LDA-based face recognition system which can solve the small sample size problem.png)
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