New method for iris image noise detecting
一种新颖的虹膜图像噪声检测方法*

In order to improve the precision of iris recognition, aiming at eyelid and eyelash occlusions in iris image, this paper presented a new approach to detect iris image noise after analyzing advantages and disadvantages of the current occlusion detecting algorithms: the method of detecting eyelash based on average gray value Gabor filter transforming and the method of detecting eyelid based on least square method. The experimental results indicate that the proposed algorithms have better effectiveness on detecting these two kinds of occlusion noises, the accuracy reach 95.10% and 96.51%, ERR is more excellent than existing methods, improving the whole performance of iris recognition system.