Modeling and Performance Analysis for User Authentication Scheme based on Anomaly Detection Method

In the field of biometrics, the iris detection has huge value, due to long-lifetime stability and reliability. Therefore, we can identify the person with the iris pattern. It is more reliable than other biometrics. In this paper, we will introduce an iris detection system which will be used to identify the person. Iris's recognition provides automated human identification as contact-less biometrics technologies for security applications. Fake iris detection can be overcome by NIR (near-infrared) sensors, which provide grey-scale images, but there are so many other techniques available, which will be discussed throughout this paper. No accurate iris segmentation is required due to this work. Our goal is to provide a secure access to high patient privacy to the right records, at the exact time.