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Review of Face Detection based on Color Image and Binary Image

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Chandni Sharma, Shreya Patel, Abhishek More, Kevin Maisuria, Saheli Patel, Foram Shah
10.5120/ijca2016907756

Chandni Sharma, Shreya Patel, Abhishek More, Kevin Maisuria, Saheli Patel and Foram Shah. Article: Review of Face Detection based on Color Image and Binary Image. International Journal of Computer Applications 134(1):22-26, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Chandni Sharma and Shreya Patel and Abhishek More and Kevin Maisuria and Saheli Patel and Foram Shah},
	title = {Article: Review of Face Detection based on Color Image and Binary Image},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {134},
	number = {1},
	pages = {22-26},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

In today’s digital world the major issue is authentication and identification. In authentication and identification the significant role is face detection. In real time application, face detection has become a challenging and interesting area. In last few year number of algorithm have been developed for face detection. In this paper, for different color model like RGB, YCbCr, HSI,CIELAB, are explained and different face detect method for all these color models are reviewed. In binary image method of face detection included LBP, PCA. This review have investigates all these methods with parameters like range, advantage and disadvantage.

References

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Keywords

Face, Skin Color, Segmentation, LBP.