IRIS Biometric Identification System Based on Modified Canny Edge Detection Algorithm

Authentication is required when there is a need to know about a person who they claim to be. It is a procedure which involves a person making a claim about their identity and then providing evidence to prove it. In this paper, iris biometric identification system has been presented that uses modified Canny Edge Detection algorithm for segmentation, binarization and cropping. Feature extraction is done by normalization and feature encoding process followed by matching process based on manhattan distance. Experimental simulation results are analysed on the basis of False Acceptance Rate (FAR) and False Rejection Rate (FRR) and found better. Modified Canny Edge Detection algorithm provides accuracy up to 99.08% on the basis of FAR and FRR.