Title : Performance analysis of face recognition based on spatial and transform Domain techniques

Type of Material: Thesis
Title: Performance analysis of face recognition based on spatial and transform Domain techniques
Researcher: Ramesha K.
Guide: Raja, K. B.
Department: Department of Electronics and Communication Engineering
Publisher: Jawaharlal Nehru Technological University, Hyderabad
Place: Hyderabad
Year: 2013
Language: English
Subject: Analysis
Performance
Recognition
Transform
Electronics and Communication Engineering
Arts, Humanities and Languages
Dissertation/Thesis Note: PhD; Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad; 2013
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_453759
040__|aJNTU_500028|dIN-AhILN
041__|aeng
100__|aRamesha K.|eResearcher
110__|aDepartment of Electronics and Communication Engineering|bJawaharlal Nehru Technological University, Hyderabad|dHyderabad|ein|0U-0017
245__|aPerformance analysis of face recognition based on spatial and transform Domain techniques
260__|aHyderabad|bJawaharlal Nehru Technological University, Hyderabad|c2013
300__|a154 p.|dNone|c-
500__|aBiblography p. 130-154
502__|cDepartment of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad|d2013|bPhD
520__|aThe biometric refers to the science of analyzing human physiologicalnewlineand/or behavioral characteristics for reliable identification of a person.newlineThe characteristics of biometrics cannot be faked, forged, guessed,newlinestolen, and one need not remember his/her biometric trait hence biometric identification systems are being used in most of the applications. An introduction to the biometrics system and types of biometrics based on physiological and behavioral parameters, general biometrics system, biometrics databases, preprocessing, featurenewlineextraction and matching are discussed in brief. Design issues, challengesnewlineand motivation related to biometrics and face recognition applicationsnewlineare discussed in chapter one.newlineThe detailed review of current literature on various spatial andnewlinetransform domain techniques for face recognition are presented innewlinechapter two. The feature extraction techniques such as Hidden MarkovnewlineModels (HMM), mole detection based, Graph Match
650__|aElectronics and Communication Engineering|2UGC
650__|aArts, Humanities and Languages|2AIU
653__|aAnalysis
653__|aPerformance
653__|aRecognition
653__|aTransform
700__|aRaja, K. B.|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/18848|yShodhganga
905__|afromsg

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