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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149045
Doc. No : ET20837
Main Entry : Manasi V. Ketkar
Title Proper : Performance Analysis of Iris Based Recognition System at the Matching Score Level
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Over the past three years, iris based personal identiطcation has gained considerable attentionboth from research groups and government organizations. Public acceptance of this biometricgrew substantially too. Modern cameras used for iris acquisition are less intrusive compared toearlier iris scanning devices and public awareness of system reliability is slowly developing. Atypical iris system consists of four major subsystems: (i) image acquisition, (ii) preprocessing,(iii) encoding, (iv) decision making. Most current research is focused on redesigning preprocess-ing and encoding techniques for iris systems. However, a framework for comprehensive analysisof iris recognition systems or a study on how various preprocessing steps inuence performanceof iris-based identiطcation system does not exist. In this thesis, we propose a methodology topredict performance of a large-scale iris recognition system based on a small testing databaseavailable, using information theoretic approach..
Subject : Electericl tess
: برق
electronic file name : TL43982.pdf
Title and statement of responsibility and : Performance Analysis of Iris Based Recognition System at the Matching Score Level [Thesis]
 
 
 
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