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Iris Recognition System Based On Gabor Filter

Posted on:2007-02-13Degree:MasterType:Thesis
Country:ChinaCandidate:S Z WangFull Text:PDF
GTID:2178360182994007Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
According to the fast development of the Internet in the world, much communion information appears, including some important personal, or state information. An accurate automatic personal identification is critical to our highly inter-connected information society. Biometrics refers to automatic identification of an individual based on her/his physiological or behavioral traits. Though biometrics is not an identification panacea, it is beginning to provide very powerful tools for problems requiring positive identification.This paper firstly introduces the biometrics of iris, as the base of person identification. Then, the paper examined automatic iris recognition as an automatically based technology for personal identification and verification. The motivation for this endeavor stems from the observation that the human iris provides a particularly interesting structure on which to base a technology for noninvasive biometrics assessment. In particular, the biometrics literature suggests that iris is as distinct as fingerprints or patterns of retinal blood vessels. Further, since the iris is an overt body, its appearance is amenable to remote examination with the aid of a machine vision system. The body of this paper detail issues in the design and operation of such systems. For the sake of illustration, extant systems are described in some amount of detail.According to these limitations of the system, we propose an iris localization algorithm based on GMM(Gaussian Mixture Model) and an iris recognition system based on Gabor filter, which can partially solve these problems. The iris localization algorithm based on GMM firstly built a gaussian mixture model for the image, then uses EM algorithm to estimate the parameters, and lastly localizes the iris. The iris recognition system based on Gabor filter firstly utilizes the gray project principle and the theorem that three points which don't on the same line can only confirm one circle to localize the iris, then uses 2-D Gabor filter to extract the characters of the iris, and lastly utilizes DU measure to identify the iris.
Keywords/Search Tags:Iris recognition, Gaussian Mixture Model, EM algorithm, Gabor filter, DU measure
PDF Full Text Request
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