Iris biometrics for network security

Biometrics deals with identification of individuals based on their biological or behavioral characteristics. Iris recognition is one of the newer biometric technologies used for personal identification. It is one of the most reliable and widely used biometric techniques available. In general, a typical iris recognition method includes capturing iris images, testing iris liveness, image segmentation, and image recognition using traditional and statistical methods. Each method has its own strengths and limitations. In this paper, we present a novel approach to iris recognition. The goal of our research is to develop an algorithm for PC/network access. This technique is very important due to widespread use of PCs and handheld computing devices in home and work environment, and valuable resources available on networks and the internet. Further, our algorithm, since it is wavelet based, will enhance the scanned image, reduce noise to the maximum extent possible, extract the important features from the image and match. those features with data in a database. Our techniques can easily generalize to logical access, physical access, and personal identification. Further, it has many more applications such as criminal identification, e-commerce, citizen identification, surveillance, retail sale, and ATM transactions.