Design of a Real Time System for Acquiring and Analyzing Iris Images in MATLAB
Arti Dhiman, Ashok J. Kumar, Manoj K. Arora · 2011
The use of computer-based technologies is increasing day by day, in different fields of life. Biometrics implies to the automatic recognition and confirmation of individuality of a human being based on their finger prints or iris data. Initially fingerprint and handwriting were used as biometric input but nowadays iris detection and analysis systems are gaining importance in Biometrics by allowing accurate localization and matching of unique iris data of an individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. In this paper a model has been developed for acquiring real time eye images using Image Acquisition Toolbox in MATLAB and then captured eye is further processed to detect its edges using various edge detection method defined in Image Processing Toolbox in MATLAB. The system developed provides a simple, cost effective and efficient real time interfacing environment. The results show that out of various methods canny method is the most powerful edgedetection method.