An Image Based Approach of IRIS Recognition for Person Identification using Segmentation Algorithm

A biometric system gives automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition system is regarded as the most reliable and accurate biometric identification system available. Also, Iris recognition is considered to be the most reliable and accurate biometric identification system present. Iris recognition system captures an image of an individual’s eye, the iris in the image is then meant for the segmentation and normalization for extracting its features. The performance of iris recognition systems mainly depends on the segmentation. Segmentation is used for the localization of the correct iris region in the particular region of an eye and it should be done accurately and correctly to remove the eyelids, eyelashes, reection and pupil noises present in iris region. Iris images are selected from the Database, then the iris and pupil boundary is detected from rest of the eye image,by removing the noises. The segmented iris region was normalized to compress the dimensional inconsistencies between two iris regions by using Then the features of the iris were encoded by convolving the normalized iris. The Hamming distance was chosen as a matching metric parameter, which gave the measure of how many bits disagreed between the templates of the iris