• Rohini Shelke
• Prof. S. B. Bagal

Many of the researchers suggest that, Biometrics is the only solution for user identification and security issues. Incorrect use of the password and incorrect, intentional and involuntary application are a great safety void. These results occur mainly due to poor human judgment, negligence and lack of touch. Biometric eliminates all these types of security errors. In recognizing iris, system identification and verification is one of the most efficient methods. The goal of this proposed system is to analyze the performance of the iris. Iris segmentation uses shape, intensity, and position information for the pupil or iris position and normalizes the iris region by unfolding the circular region in a rectangular region. The extraction of the iris characteristics was performed using the GLCM biometry (gray scale matching matrix) and the HD dimension (Hausdorff dimension). The BGM algorithm (biometric graph matching) is used, which is used to match the graph between the training image and the biometric iris test. The BGM algorithm uses a graphic topology to define different functional values of iris models. A SVM (Support Vector Machine) classifier is used to distinguish between the genuine and the impostor. The results provide better performance and authentication than the existing method.

SVM(Support Vector Machine), BGM(Biometric Graph Matching),Segmenation,IRIS

"Iris Recognition System: A Novel Approach For Biometric Authentication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.7-11, June-2018, Available :http://www.jetir.org/papers/JETIR1806243.pdf

"Iris Recognition System: A Novel Approach For Biometric Authentication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp7-11, June-2018, Available at : http://www.jetir.org/papers/JETIR1806243.pdf