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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2012 Vol.4(2): 127-130 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.436

Gender Recognition Based on Edge Histogram

A. R . A rdakany, M ember, IACSIT and A. M. Jou la

Abstract—In this paper, we present a novel method to gender classification using a new simple feature extraction which extracts geometric and appearance features at the same time. This feature extraction is performed by computing the derivative in all pixels of face images and then constructing a histogram based on edges magnitudes and directions. The experiments clearly show that the presented method is quite competitive with 95.67% accuracy on FERET database. In addition, the efficiency of the proposed method makes it a good choice for real-time systems which combine face detection and gender classification.

Index Terms—Gender recognition; feature extraction; edges; histogram; FERET database.

Abbas Roayaei Ardakany is with University of Nevada, Reno (e-mail: roayaei@yahoo.com).
Amin Moaven Joula is with the Department of Computer Engineering, Sharif University of Technology, Tehran.


Cite: A. R . A rdakany and A. M. Jou la, "Gender Recognition Based on Edge Histogram," International Journal of Computer Theory and Engineering vol. 4, no. 2, pp. 127-130, 2012.

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