A New Technique For Iris Recognition
Reliable authorization and authentication are becoming necessary for many everyday applications such as boarding an aircraft, performing financial transaction, logging to a secure system etc. Identity verification becomes a challenging task when it has to be automated with high accuracy and with low probability of break-ins and low rates of false match. Moreover, person verification is not a new problem and society had created three traditional modes of designation: 1. Possessions: Physical possessions such as keys, passports and smart cards. 2. Knowledge: Pieces of information those are secret and known only to the right person such as PIN, passwords, user names etc. 3. Biometrics: Physiological and behavioral characteristics of individuals that distinguish one person from the others. These characteristics are different in each person. Iris is the best characteristic that can be used for person's identification and authentication in comparison with fingerprints, face, voice, and signature. It combines all the characteristics that a practical biometric should have. Iris pattern is unique to each person even that difference exists between twines. In the same time, the iris pattern is different between the right and left eye of the same person. Moreover, iris is very stable and changeless human characteristic over the time. Also, the sensing device that is used in order to measure the iris characteristic is a camera. This will be convenient for user population. Iris pattern is the safest biometric of all because it cannot be duplicated. Iris Recognition System project's goal is to create two Biometric subsystems; one for enrollment and one for authentication. The whole system will be implemented into Matlab. All the software routines and hardware used to build the system, will briefly explained later in this chapter. The designed system can be used in order to authenticate persons to have access into a restricted area or give access to special machinery.