A fast and efficient multiple step algorithm of iris image quality assessment
Chunlei Shi, Longxu Jin · 2010
Iris recognition is one of the most reliable methods of biometrics personal identification. Poor quality iris image will be rejected by recognition system, which will result in the failure of recognition. Therefore iris image quality assessment is very essential to the iris recognition system. In this paper, a multiple step algorithm of iris image quality assessment is proposed to distinguish two kinds of poor quality images, i.e. defocus and occlusion. Experimental results show that the proposed algorithm is fast and efficient for iris image quality assessment.