Iris recognition for human identification

Abstract

Iris recognition system is the biometric identification system. Iris has an intricate structure, uniqueness, stability, and natural protection. Due to these features of the iris it can be used for biometric identification. This system gives better performance than other biometric identification systems. A novel eyelash removal method for preprocessing of human iris images in a human iris recognition system is presented. Discrete cosine transform (DCT) method is used for feature extraction. For matching of two-iris code Hamming distance calculation is used. EER value must be less for the optimum performance of the system. © 2010 American Institute of Physics.