Iris authentication using Gray Level Co-occurrence Matrix and Hausdorff Dimension

摘要: Many of the researchers suggest that, Biometrics is only solution for user identification and security problems. Password incorrect use misapplication, intentional inadvertent a gaping hole in security. These results are mainly occurs due to Poor human judgment, carelessness tactlessness. Biometric removes all these types mistakes. In iris recognition system verification one efficient method. The objective this proposed analyze performance iris. segmentation utilizes shape, intensity, location information pupil or localization performs normalization region by unwrapping circular into rectangular region. feature extraction was done biometrics GLCM (Gray Scale Co-occurrence Matrix) HD (Hausdorff Dimension. BGM (Biometric Graph Matching) algorithm used, which used match graph between training image test biometric. uses topology define different values templates. A SVM (Support Vector Machine) classifier distinguish genuine imposter. give better authentication than existing