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Classification of Human Skin Color and its Application to Face Recognition

Authors:
Marwa Jmal
Wided Souidene Mseddi
Rabah Attia
Anis Youssef

Keywords: Skin color classification; Face recognition; Pixel-based classification; RGB model.

Abstract:
This paper presents a novel human skin color classification into skin color tones: White and Black. This is performed by developing a skin color classifier based on pixel-based classification using RGB model. Our proposed method is classified under the category of an explicitly defined skin region model. The skin classifier divides our database formed by some images from the FERET set of faces into two sub-databases according to the skin color. The skin color classification method is then applied on a face recognition technique by reducing the number of trained images in the matching process. The performance of the proposed human skin color classifier is evaluated perceptually. Experimental results showed that our proposed skin color classifier is able to classify a face into its possible skin color tone and reaches 87% as hit rate.

Pages: 126 to 131

Copyright: Copyright (c) IARIA, 2014

Publication date: February 23, 2014

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-320-9

Location: Nice, France

Dates: from February 23, 2014 to February 27, 2014