An Efficient Approach for Iris Recognition by Improving Iris Segmentation and Iris Image Compression

The biometric person authentication technique based on the pattern of the human iris is well suited to be applied to any access control system requiring a high level of security. Commercial iris recognition systems are currently employed to allow passengers in some airports to be rapidly processed thru security, to allow access to secure areas, and for secure access to computer networks. With increasing need of the biometric systems the question arises naturally how to store and handle the acquired data. If required storage space is not adequate for these images, compression is an alternative. It allows a reduction in the space needed to store these iris images, although it may be at a cost in some amount of information loss in the process. This paper investigates the effects of image compression on iris recognition based on proposed algorithm and compression is performed using JPEG2000. The proposed technique is computationally effective as well as reliable in terms of recognition rates.