Iris Recognition for Security & Safety of Automobiles
Sintu Punnoose, J. Sam, J. Praveen Kumar · 2015
The objective of this paper is towards implementing the Iris Recognition System (IRS) for ensuring security as well as safety of owner of the automobile. Iris Recognition is a method of biometric authentication that employs pattern recognition techniques based on iris images of an individual's eyes. It is regarded as the most stable, reliable and accurate biometric identification system available. From studies, it is found that algorithms developed by Daugman produce perfect recognition rates. The Iris Recognition System consists of the following steps; Image Acquisition, Image Pre-Processing which involves image segmentation and normalization, then Feature Extraction and finally matching the processed image with database. The first two steps for Iris Recognition were performed successfully in MATLAB®. The edges of iris and pupil were detected using Canny Edge Detection technique and results were plotted. The state of drowsiness can also be detected by observing the closing of eyes which can ensure in safety of driver. Therefore, Iris Recognition is considered to be reliable and accurate biometric technique for authentication of driver in automobile.