Person Identification Through IRIS Recognition
In this paper, the authors propose a new biometric-based Iris feature extraction system. The system automatically acquires the biometric data in numerical format (Iris Images) by using a set of properly located sensors. They are considering camera as a high quality sensor. Iris Images are typically color images that are processed to gray scale images. Then the Feature extraction algorithm is used to detect "IRIS Effective Region (IER)" and then extract features from "IRIS Effective Region (IER)" that are numerical characterization of the underlying biometrics. Later on this paper will be helping to identify an individual by comparing the feature obtained from the feature extraction algorithm with the previously stored feature by producing a similarity score.