文件名称:[16---2011]---local-binary-LDA-for-FaceR
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- 图形/文字识别
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- 2012-11-26
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- 228kb
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- Hung ******
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Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from images that we have called local binary linear discriminant
analysis (LBLDA), which combines the good characteristics of both LDA and local feature extraction methods. We demonstrated that binarizing the feature vector obtained by LBLDA significantly improves the recognition accuracy.
analysis (LBLDA), which combines the good characteristics of both LDA and local feature extraction methods. We demonstrated that binarizing the feature vector obtained by LBLDA significantly improves the recognition accuracy.
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[16 - 2011] - local binary LDA for FaceR.pdf