INTRODUCTIONAccording to this invention, there is provided an entire system for security area using iris recognition, it allows access to only those individuals whose iris is matched with the database and deny access to all others, very reliably.KeywordsImage preprocessing, Segmentation, Normalization, Feaure Extraction, Classifier At last Template of the new eye image will be compared with the iris template database using Probabilistic Neural Network. In this Local Binary Pattern and Gray level Co- occurence Matrix are used to extract the features. A technique based on Hough Transform was employed on the iris for creating a dimensionally consistent representation of the iris region. The noise due to eyelid occlusions, reflections is eliminated in the segmentation stage. Hough transform is used to segment the iris region from the eye image of the CASIA database. The iris template database is created using three steps the first step is segmentation. The iris recognition system automatically recognizes the identity of a person from a new eye image by comparing it to the human iris patterns stored in an iris template database. Abstract Iris recognition is a part of biometric identification which offers a new solution for personal identification, authentication and security by analyzing the random pattern of the iris.
0 Comments
Leave a Reply. |