Gender recognition using sift
By: Teves, Hara Danica A
Publisher: Cebu City ; CIT-U ; 2013DDC classification: T T299 2013 Summary: This paper recognizes gender through the person?s face. Extraction of face and facial features are done using Emgu. The extracted face is then used for skin detection to eliminate minimal background and then edge detection, including the facial features, to get the shape and structure of the extracted images. The shape of the face and the facial features are then passed and used SIFT to get interest points of the image. Each is determined by gender using Neural network and then passed to the fuzzy logic and finally recognizes the person?s gender.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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RESERVED BOOKS
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COLLEGE LIBRARY | COLLEGE LIBRARY | T T299 2013 (Browse shelf) | Available | T1718 |
This paper recognizes gender through the person?s face. Extraction of face and facial features are done using Emgu. The extracted face is then used for skin detection to eliminate minimal background and then edge detection, including the facial features, to get the shape and structure of the extracted images. The shape of the face and the facial features are then passed and used SIFT to get interest points of the image. Each is determined by gender using Neural network and then passed to the fuzzy logic and finally recognizes the person?s gender.
000-099
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