Personal Identification Based on IRIS Texture Analysis

The Security has become a main problem of concern among the people. Biometrics is robotic method of identifying a person based on physiological or behavioural uniqueness. Threat starts while an useless person tries to obtain access. A person verification system localize facial landmarks and extracts biometrical features for face authentication. This includes image acquirement, segmentation, normalization, pattern generation and matching. Databases of biometrical facial appearance around the eye area of customers are construct. The accuracy of the segmentation procedure plays a major role in the performance of the iris recognition system. Segmentation is performed by identifying the obligatory region from the acquired image. Image has to be smoothened to develop the accuracy. Noise present in the image is to be detached by using specific filter. This segmented image is to be normalized and Feature extraction takes place. The output of feature extraction will be in the form of bit template which will be compared to find for a match.