International Journal of Computer Applications
Iris recognition is a form of biometric technology that authenticates individuals by using the unique iris patterns between the pupil and the sclera. There are three factors: defocus, motion blur and off-angle to substantially degrade performance more than the other quality. In this paper is interested in motion blur. The iris image will appear blurry which can reduce iris recognition accuracy. The focus of the paper is to achieve a quality edge preserving image restoration using Total Variation (TV)-L1 regularization technique. L1 norm based approaches do not penalize edges or high frequency contents in the restored image.