Effective Iris Recognition For Security Enhancement

Iris Recognition is considered as one of the best Biometric methods used for human identification and verification, because of its unique feature that differ from one person to another, and its importance in the security field. We proposed an algorithm using a system based on Local Binary Pattern and histogram approaches for feature extraction, and Linear Vector Quantization classifier for classification for this iris recognition. This model is designed to distinguish clients from unauthorized users so that only valid users can have access to the security systems. All iris recognition process is done with the NI Vision Assistant and LabVIEW. Here we create a LabVIEW database for storing the information of the users including Iris of the respective person. In our proposed system we give a high recognition rate on different iris databases compared with other methods.