RID APPROACHES FOR FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS

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" RID APPROACHES FOR FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151979
Doc. No	:	ET23771
Main Entry	:	TSUEN LEE
Title Proper	:	RID APPROACHES FOR FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Face Recognition is the ability to recognize human faces with many variationsof facial appearances. Recent approaches to face recognition utilize a combination offeature extraction algorithms and Neural Network classification algoriobjective of our study is to establish a unified frame for ranking alternate combinationsof existing algorit s according to both face recognition success rate and recognitiontime, since this information is not usually reported in the literature. Our recognitionresults show that Principal Component Analysis wit Multi-Layeredcombination. Also, the results imply that for face recognition supervisedtraining is better than unsupervised training. In.............-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL47030.pdf
Title and statement of responsibility and	:	RID APPROACHES FOR FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS [Thesis]