Iris recognition by using blood vessel segmentation
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 5
Abstract
Abstract: Among the various biometrics technologies, iris recognition is the most reliable and accurate biometric identification system available. In this paper a novel framework for recognizing and identifying iris is been proposed. Iroimages are pre-processed to remove noise using median filtering on different image planesseparately. GLCM and Gabor wavelet texture features have been used to identify the Iris and classification tree approach is used to classify them. The results are improved by the use of combined GLCM and Gabor features. Speed vector machine (SVM) is used for classification. This is an intelligent system which has the ability toidentify retina from photographs of their iris and it provides accurate results in less time. The real time database is prepared for the experimental use. The database contains various iris with various shapes, colours and size. Experiment is carried out with the different Iris of different classes and tested.
Authors and Affiliations
Madhuri W. Patil , Mr. C S Patil , Mr. Rajesh R Karhe
Keywords
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