Pixel-based skin color detection technique

Authors:
Ihab Zaqout;Roziati Zainuddin;Sapian Baba
Affiliations:
Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, K. L., Malaysia;Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, K. L., Malaysia;Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, K. L., Malaysia
Venue:
Machine Graphics & Vision International Journal
Year:
2005

Citing 13
Cited 1

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Abstract

One of the simplest features used for the human face detection problem is the skin color information. A simple and relatively efficient histogram-based algorithm to segment skin pixels from a complex background is presented. The histogram-based algorithm used here is referred to as the lookup table (LUT) and is adopted to identify those intervals which may fall in the skin locus plane. For that purpose, a total of 306,401 skin samples are manually collected from RGB color images to calculate three lookup tables based on the relationship between each single pair of the three components (R, G, B). To estimate the skin locus boundary, a skin classifier box is created by integration of the proposed three heuristic rules based on how often each RGB pixel-relationship falls into its interval.