Sanjay Kr. Singh1 , D. S. Chauhan2 , Mayank Vatsa3 , Richa Singh This email address is being protected from spambots. You need JavaScript enabled to view it.3

1Department of Computer Science and Engineering Institute of Engineering and Technology Jaunpur−222002, India
2Uttar Pradesh Technical University Institute of Engineering and Technology Lucknow−226021, India
3Department of Computer Science & Engineering Indian Institute of Technology Kanpur−208016, India


 

Received: June 2, 2003
Accepted: September 15, 2003
Publication Date: December 1, 2003

Download Citation: ||https://doi.org/10.6180/jase.2003.6.4.06  


ABSTRACT


In this paper, a detailed experimental study of face detection algorithms based on “Skin Color” has been made. Three color spaces, RGB, YCbCr and HSI are of main concern. We have compared the algorithms based on these color spaces and have combined them to get a new skin color based face detection algorithm which gives higher accuracy. Experimental results show that the proposed algorithm is good enough to localize a human face in an image with an accuracy of 95.18%.


Keywords: Face Detection, Skin Color Classification, Color Space, Thresholding, Feature Extraction


REFERENCES


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