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Iris Recognition Algorithm And Implementation

Posted on:2006-02-16Degree:MasterType:Thesis
Country:ChinaCandidate:H J ChangFull Text:PDF
GTID:2208360182966743Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Biometric recognition technique is one of the hottest research fields, which is the multidiscipline technology, including biology, anatomy, computer, electronics, etc. Iris recognition technique is potential because it is untouched, the texture of iris is different from each other, morphology of iris is stable, and iris is difficult to modify etc. It has been called "Optical Fingerprint" in the field of biometric recognition. So it has enormous application prospects. In the paper, the iris recognition algorithm is researched deeply in order to own our patent that can serve for the departments such as secret department, bank automatic system and other domains that need identification.In this paper, the development of biometric recognition and some kinds of biometric recognition techniques are introduced. Then the development of iris recognition technique and the structure of iris recognition system are discussed in detail. The algorithm of iris recognition has also been researched deeply and al of the processes that include location, Pre-processing, feature extraction, and pattern match have been carried out Location and feature extraction have been focused on researching since they are the key steps of them.In the iris location respect, a new location method is put forward which can enhance the speed of location. Then a mapped method is used to achieve the coordinate transform. For feature extraction, algorithm based on Gabor transform is used. Then the matching algorithms are applied and the consequences of recognition are very good.At last the results and conclusions of the paper are pointed out. At the same time, some expectations to future research are predicted.
Keywords/Search Tags:Iris, Pattern Recognition, Canny Operator, Hough Transform, Gabor Transform
PDF Full Text Request
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