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Volume: 29 | Article ID: art00004
A Multi-Scale Approach to Skin Pixel Detection
  DOI :  10.2352/ISSN.2470-1173.2017.4.SRV-352  Published OnlineJanuary 2017

This paper presents an algorithm to detect skin pixels in an image. Each pixel is classified as a skin or non-skin pixel based on features extracted from its neighborhood. The presented algorithm uses a modified likelihood ratio for classification, and uses a multi-scale approach to classify the pixel in question. The algorithm was developed and evaluated using the ColorFERET dataset. The presented algorithm achieved 95.6 % classification accuracy.

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Siddharth Roheda, "A Multi-Scale Approach to Skin Pixel Detectionin Proc. IS&T Int’l. Symp. on Electronic Imaging: Surveillance: Applications and Algorithms,  2017,  pp 18 - 23,

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