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Extended Local Binary Pattern for Face Recognition

IJCA Proceedings on International Conference on Advancements in Engineering and Technology
© 2015 by IJCA Journal
ICAET 2015 - Number 2
Year of Publication: 2015
Jatinder Sharma
Rishav Dewan

Jatinder Sharma and Rishav Dewan. Article: Extended Local Binary Pattern for Face Recognition. IJCA Proceedings on International Conference on Advancements in Engineering and Technology ICAET 2015(2):1-4, August 2015. Full text available. BibTeX

	author = {Jatinder Sharma and Rishav Dewan},
	title = {Article: Extended Local Binary Pattern for Face Recognition},
	journal = {IJCA Proceedings on International Conference on Advancements in Engineering and Technology},
	year = {2015},
	volume = {ICAET 2015},
	number = {2},
	pages = {1-4},
	month = {August},
	note = {Full text available}


This research Paper represents a recent use of the extended local binary pattern for face recognition. Extended Local Binary Pattern (ELBP) Technique is more accurate and describes the texture and shape of a digital image by using of 3*3 & 5*5 matrices we have to compare the performance of both matrices so that how we recognize the image. Variance help to measure continuous output where the quantization is needed. By dividing an image into several small region from which the feature are extracted. if match is found then image face is recognized otherwise if match does not found then image face is not recognized. If we saw at the mirror we can see that our face has different type of human expression. These are the peak and valley that make up the different facial features


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