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Study Of Iris Feature Extraction Algorithm

Posted on:2009-11-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q WuFull Text:PDF
GTID:2208360272457611Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
With the increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention over the past decade. Biological characteristic contains fingerprint, speaker, eigenface, framework, retina, iris, gait motion.Iris recognition, a kind of biological characteristic recognition, springs up as a result of the social and economical development. As a feature of identification, iris has more excellent characters compared with other features, such as exclusivity, stability, collection, non-invasive. 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, the first step is to obtain the pupil's center and radius by setting an ideal threshold value. The next step, we conduct Canny operation and Hough transform to obtain iris outer boundary.For feature extraction, algorithm based on DCT transform and gray-level co-occurrence matrix are used. Then the matching algorithms are applied and the consequences of recognition are very good.Iris recognition algorithm has been implemented by using Matlab language and simulated in the CASIA iris image database. The algorithm can achieve a good result.
Keywords/Search Tags:iris recognition, Pre-processing, Hough, DCT, GLCM, feature extraction
PDF Full Text Request
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