Gender classification from face images using linear discriminant analysis
This study addresses the problem of gender classification using frontal images. We have developed a gender classification with performance superior to existing gender classifiers. The first step is that the face image is projected into a face space via Principal Component Analysis (PCA) to reduce di...
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Format: | Thesis |
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2008
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Online Access: | http://hdl.handle.net/10356/3589 |