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Moghaddam et al., 2000 - Google Patents

Gender classification with support vector machines

Moghaddam et al., 2000

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Document ID
2545317432284656062
Author
Moghaddam B
Yang M
Publication year
Publication venue
proceedings fourth IEEE international conference on automatic face and gesture recognition (Cat. No. PR00580)

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Snippet

Support vector machines (SVM) are investigated for visual gender classification with low- resolution" thumbnail" faces (21-by-12 pixels) processed from 1755 images from the FERET face database. The performance of SVM (3.4% error) is shown to be superior to traditional …
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