Iris Recognition; From Classic to Modern Approaches

摘要

Biometrics is considered as the use of physiological and behavior characteristics to decide an individual. Numerous biometric attributes have been enhanced and used to confirm the person's character. These days, acknowledgment of individuals by the iris picture is inexactly used once secure ID of an individual is required. The iris detection framework has been mostly used and demonstrated to be useful and compelling in identifying an individual with high accuracy and nearly perfectly matching. Among authentication methods, iris detection systems have attracted so much attention, because rich iris tissue offers robust biometric criteria for determining people. In this paper, improvements in research methodologies used by various scholars and researchers for iris localization, iris segmentation, feature extraction, classification, and encryption of the Iris images are discussed. Additionally, authors discussed the drawbacks of previous algorithms and their findings of the results and surveyed the function of previous practices, and investigate the disadvantages and benefits of this identification by iris. It could be the first step towards starting a wider study.