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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149009
Doc. No : ET20801
Main Entry : IMRAN NASSEM
Title Proper : COMBINING CLASSIFIERS USING THE DEMPSTER- SHAFER THEORY OF EVIDENCE
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : A s organizations strive for means of providing more secure methods for useraccess, biometrics is gaining increasing attention. However a biometric recognitionsystem good for one case study may not be accurate for the other one. One solu-tion t o the problem is combining classzfiers; so that the complementary informationdeparted by dzfferent classifiers could be combined, in a n eficient way, t o achieve amuch better recognition rate as compared to the participating experts. I n this contextthe Dempster Shafer theory of evidence ( D S T ) has shown some promising results;however the D S T has not yet been explored for the problem of biometric recognitionsystems. I n this thesis we have proposed three novel algorithms t o combine dzflerentbiometric systems using the DST. NNEF (Nearest Neighbor Based Evidence Fu-sion) algorithm uses the.
Subject : Electericl tess
: برق
electronic file name : TL43946.pdf
Title and statement of responsibility and : COMBINING CLASSIFIERS USING THE DEMPSTER- SHAFER THEORY OF EVIDENCE [Thesis]
 
 
 
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