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Proceedings Paper

Face detection in color images using skin color, Laplacian of Gaussian, and Euler number
Author(s): Shylaja Saligrama Sundara Raman; Balasubramanya Murthy Kannanedhi Narasimha Sastry; Natarajan Subramanyam; Ramya Senkutuvan; Radhika Srikanth; Nikita John; Prateek Rao
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Paper Abstract

In this a paper, a feature based approach to face detection has been proposed using an ensemble of algorithms. The method uses chrominance values and edge features to classify the image as skin and nonskin regions. The edge detector used for this purpose is Laplacian of Gaussian (LoG) which is found to be appropriate when images having multiple faces with noise in them. Eight connectivity analysis of these regions will segregate them as probable face or nonface. The procedure is made more robust by identifying local features within these skin regions which include number of holes, percentage of skin and the golden ratio. The method proposed has been tested on color face images of various races obtained from different sources and its performance is found to be encouraging as the color segmentation cleans up almost all the complex facial features. The result obtained has a calculated accuracy of 86.5% on a test set of 230 images.

Paper Details

Date Published: 26 February 2010
PDF: 8 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754629 (26 February 2010); doi: 10.1117/12.853491
Show Author Affiliations
Shylaja Saligrama Sundara Raman, PES Institute of Technology (India)
Balasubramanya Murthy Kannanedhi Narasimha Sastry, PES Institute of Technology (India)
Natarajan Subramanyam, PES Institute of Technology (India)
Ramya Senkutuvan, PES Institute of Technology (India)
Radhika Srikanth, PES Institute of Technology (India)
Nikita John, PES Institute of Technology (India)
Prateek Rao, PES Institute of Technology (India)

Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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