Das, Animesh (2012) Recognition of Human Iris Patterns. BTech thesis.
|PDF (Project Thesis)
A biometric system of identification and authentication provides automatic recognition of an individual based on certain unique features or characteristics possessed by that individual. Iris recognition is a biometric identification method that uses pattern recognition on the images of the iris of an individual. Iris recognition is considered as one of the most accurate biometric methods available owing to the unique epigenetic patterns of the iris. In this project, we have developed a system that can recognize human iris patterns and an analysis of the results is done. A hybrid mechanism has been used for implementation of the system. Iris localization is done by amalgamating the Canny Edge Detection scheme and Circular Hough Transform. The iris images are then normalized so as to transform the iris region to have fixed dimensions in order to allow comparisons. Feature encoding has been used to extract the most discriminating features of the iris and is done using a modification of Gabor wavelets. And finally the biometric templates are compared using Hamming Distance which tells us whether the two iris images are same or not.
|Iris Recognition, Hough Transform, Feature Encoding, Gabor Wavelets
|Engineering and Technology > Computer and Information Science > Image Processing
|Engineering and Technology > Department of Computer Science
|Mr. Animesh Das
|30 May 2012 14:40
|13 Jun 2012 16:23
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