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Face Detection using Fuzzy Skin Color Segmentation

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 85 - Number 14
Year of Publication: 2014
Authors:
Sabiha Sultana
Md. Saiful Islam
Md. Golam Moazzam
10.5120/14911-3499

Sabiha Sultana, Md. Saiful Islam and Md. Golam Moazzam. Article: Face Detection using Fuzzy Skin Color Segmentation. International Journal of Computer Applications 85(14):29-34, January 2014. Full text available. BibTeX

@article{key:article,
	author = {Sabiha Sultana and Md. Saiful Islam and Md. Golam Moazzam},
	title = {Article: Face Detection using Fuzzy Skin Color Segmentation},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {85},
	number = {14},
	pages = {29-34},
	month = {January},
	note = {Full text available}
}

Abstract

This paper presents a reliable method for detecting human faces in color images. The system is based on the visual information of the face and is commenced with the detection of face regions by connected component analysis of the skin color segmentation of images in HSV,YCBCR,YIQ color model and the Fuzzy membership function. The Fuzzy Membership function is applied to search for possible face regions in an image. The proposed method is robust in that it can deal with illumination changes and moderate rotations.

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