Identification by biological features gets tremendous importance with the increasing of security systems in society. The conventional methods like ID card verification or signature does not provide perfection and reliability. which is necessary for securing personal information. Identification and verification of a person today is a common thing which may include door-lock system and vehicle control or even at accessing bank accounts via ATM, etc. This report actually gives an overview of improving IRIS recognition performance using segmentation with the help of CASIA database. Hence, securing the biometric template is vital to maintain security and integrity of biometric systems. Moreover, it has been shown that it is possible to create a physical spoof starting from standard biometric templates. Consequently, the impostor could gain unauthorized access to a place or a system. For instance, a biometric template can be replaced by an impostor's template in a system database or it might be stolen and replayed. However, the security of biometric systems can be undetermined in a number of ways. In biometric-based authentication, a legitimate user does not need to remember or carry anything and it is more reliable than traditional authentication schemes. These appearances should not be duplicable, but it is unfortunately possible to create a copy that is accepted by the biometric system as a true sample. The characteristics are measurable and unique. Automated Biometrics methods are there for the identity verification on the principle of measurable physiological or behavioural uniqueness like fingerprint or voice sample or iris verification. To attain more reliable identification we must use realistic characterization of the given person. Things like keys or cards, however, tend to get stolen or lost and passwords or pin are often forgotten or disclosed. Identity verification (authentication) in computer systems has been traditionally based on something like password, key, card, pin and etc. We can recognize humans each other according to their numerous characteristics of age.
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