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Face Detection using RGB Ratio Model

IJCA Proceedings on National Conference on Advances in Communication and Computing
© 2014 by IJCA Journal
NCACC 2014 - Number 1
Year of Publication: 2014
Gayatri A. Patil
Shailaja A. Patil

Gayatri A Patil and Shailaja A Patil. Article: Face Detection using RGB Ratio Model. IJCA Proceedings on National Conference on Advances in Communication and Computing NCACC(1):18-20, December 2014. Full text available. BibTeX

	author = {Gayatri A. Patil and Shailaja A. Patil},
	title = {Article: Face Detection using RGB Ratio Model},
	journal = {IJCA Proceedings on National Conference on Advances in Communication and Computing},
	year = {2014},
	volume = {NCACC},
	number = {1},
	pages = {18-20},
	month = {December},
	note = {Full text available}


In this paper, we proposed face detection algorithm based on RGB Ratio model. Face detection is used to find faces in images. This algorithm has a simple procedure which is divided into two steps, first to segment image using RGB Ratio Model and secondly, to classify this regions into face or non-face skin regions. It uses RGB ratio model in combination with fuzzy classifier to quickly locate faces in images. RGB ratio color model is used for skin color segmentation. Basically, this color model is used to remove non-skin like pixels from an image. Each skin region is actually represents a human face or not, checked by using human face features based on knowledge of geometrical properties of human face. The experiment result shows that the algorithm gives satisfactory output.


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