A Review on Advances in Iris Recognition Methods
Iris recognition is one of the most accurate identity verification systems. Since its initial introduction by J. Daughman, many methods have been proposed to enhance the performance. The authors present an overview of the latest research on iris recognition by categorizing the research in four groups outlined as localization, segmentation, coding and recognition. They present the latest developments explaining advances to solve problems existing at each of iris recognition stages. Identity verification and identification is becoming increasingly popular. Initially fingerprint, voice and face have been the main biometrics used to distinguish individuals.