DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-3,Issue-11 ( Nov, 2015 ) | |||||||||
Paper Title |
Gender Classification From Face Images With Local Texture Pattern | |||||||||
Author Name |
Yi‐Jui Li, Chih‐Chin Lai, Chih‐Hung Wu, Shing‐Tai Pan, Shie‐Jue Lee | |||||||||
Affilition |
Department of Electrical Engineering, National University of Kaohsiung, 811 Kaohsiung, Taiwan Department of Computer Science and Information Engineering, National University of Kaohsiung, 811 Kaohsiung, Taiwan Department of Electrical Engineering, National Sun Yat‐Sen University, 804 Kaohsiung, Taiwan | |||||||||
Pages |
15-17 | |||||||||
Abstract |
Recognizing human gender automatically by a computer is a challenging problem. It has been attracting research attention due to its wide real-life applications. Gender classification can be viewed as an essential preprocessing step in face recognition. Because human faces contain a lot of really useful information, many approaches based on facial features have been investigated for gender classification. In this paper, we present a novel texture pattern as feature descriptor to identify the gender from the facial images. The classification is performed by using a support vector machine. Experimental results on the FERET database are provided to illustrate the proposed approach is an effective method, compared to other similar methods. Keywords- Gender Classification, Local Texture Pattern, Support Vector Machine | |||||||||
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