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General Information
Editor-in-chief
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 2013 Vol.5(1): 56-59 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.646

Face Detection in Skin-toned Images Using Edge Detection and Feature Extraction Using R and G Channelsthrough Wavelet Approximation

H. C. VijayLakshmi and S. Patilkulkarni

Abstract—Face detection and localization in complex skin toned background is a highly challenging problem. In this paper, use of combination of color spaces and edge detection in red and green channels is proposed for segmenting out the skin-tone regions. Wavelet approximations are used for the extraction of prominent features of face. Experimental results are shown to yield the improved false acceptance rates (FAR) over the algorithms that either use grey scale image for segmentation and the algorithms that do not use any edge detection.

Index Terms—Face detection, localization, edge, wavelet, rand g channel.

H. C. Vijaylakshmi is with Sri Jayachamaranendra College of Engineering, Mysore. Karnataka, India (e-mail vijisjce@yahoo.co.in).
Dr. Sudarshan Patil Kulkarni is with JSS Research Foundation, SJCE, Mysore, Karnataka, India (e-mail pk.sudarshan@gmail.com).

[PDF]

Cite: H. C. VijayLakshmi and S. Patilkulkarni, "Face Detection in Skin-toned Images Using Edge Detection and Feature Extraction Using R and G Channels through Wavelet Approximation," International Journal of Computer Theory and Engineering vol. 5, no. 1, pp. 56-59, 2013.

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