IRIS RECOGNITION USING GRAY LEVEL RUN LENGTH MATRIX AND KNN CLASSIFIER

Biometric devices are great tools for the security . Iris is a very unique identifying characteristic amongst all human biometric trai ts. In the proposed system, the biometric authentication system using iris recognition is presented. In this iris image is preprocessed the n image localized with the Hough transform, normalized using Daugman's rubbersheet mo del finally image sharpening is used with the morphological toggle filter . Feature extraction is done using Gray Level Run Length Matrix (GLRL M) technique with 0 directions and classification is done using multiclass KNN. T his system is evaluated on CASIA database and it gives 92.66 % accuracy.