Abstract
Inthis paper we proposed an improved novel approachto identify the person using iris recognition technique. Thisapproach is based on fuzzy and support vector machine (SVM) asan iris pattern classifier. Prior to classifier, region of interest i.e.iris region is segmented using Canny edge detector and Houghtransform. Provided that the effect of eyelid and eyelashes getreduced. Daugman’s rubber sheet model used to get normalized iristo improve computational efficiency and proper dimensionality.Further, discriminating feature sequence is obtained by featureextraction from segmented iris image using 1D Log Gaborwavelet.Encoding is done using phase quantization to get featurevectors. These binary sequence feature vectors are used to trainSVM and fuzzy system as iris pattern classifier. The experimentaltests are performed over standard CASIAIrisV4 database.
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