为了降低眼睫毛噪声对虹膜识别的影响,提高虹膜的识别率,本文提出了一种用于虹膜识别的眼睫毛遮挡检测算法。该方法根据Canny算法检测图像中的眼睫毛,对Canny算法中的参数进行研究,利用虹膜的外圆,提出了用一个扇形区域来表示眼睫毛遮挡区域。除去眼睫毛遮挡区域与瞳孔,虹膜外圆余下的部分即为虹膜的有效区域。实验结果表明,该方法可以有效地检测眼睫毛,并且所得到的扇形区域包含外圆内部所有的眼睫毛像素,可以有效提高模式的可分性和虹膜的识别率。

To reduce the influence of eyelash noise and improve discriminability in iris recognition, a detection of eyelash occlusions method based on the canny method was presented for the iris recognition. The parameters in canny method were researched. One sector in the outer circularity of iris is used to represent the region of eyelash occlusions. Excluding the pupil and the sector, the rest of the outer circularity is the effective region of iris. Our experimental results demonstrate that the sector contains all eyelash pixels in the outer circularity. The algorithm can detect the eyelash effectively and can improve the classification and discriminability of iris patterns and the rate of iris recognition.