INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & MANAGEMENT IRIS RECOGNITION SYSTEM USING STASTICAL FEATURE EXTRACTION
Kriti Masih, Monisha Sharma · 2012
Biometrics deals with identification of individuals based on their biological or behavioral characteri stics. Iris recognition is one of the newer biometric technolog ies used for personal identification. It is one of the most reliable and widely used biometric techniques avail able. In general, a typical iris recognition method includes capturing iris images, testing iris livens, image s egmentation, and image recognition using traditiona l and statistical methods. Each method has its own streng ths and limitations. Our goal is to develop best a lgorithm that enhances iris images, reduces noise to the max imum extent possible, extracts the important featur es from the image, and matches those features with data in an iris database. This approach will be simple and effective, and can be implemented in real-time. Experiments ar e performed using iris images obtained from CASIA database (Institute of Automation, Chinese Academy of Sciences) and Matlab application for its easy an d efficient tools in image manipulation.