关键词: 虹膜识别, 睫毛检测, 眼睑检测, 脉冲发放皮层模型

Abstract: This paper presents a novel method of eye lashed and eyelid regional location in iris images. In order to extract the distribution of different angles eyelashes, it puts the normalized iris image to carry on many iterations using SCM. According to the image gray distribution feature, it uses cross entropy criterion and minimum cross-entropy criterion to select the better iteration results. In order to get a good noise profile targeting region, it uses tracking and fusion methods to the edge pixels in multiple iterations images. It adopts the method of combining the Gaussian pyramid scale transform and Hough transform, fitting the elliptic region of the eyelids, to obtain a continuous edge of the eyelid, to achieve the exact location of the noise region in the normalized iris images. Experimental results confirm the validity of this method.

Key words: iris recognition, eyelash detection, eyelid detection, spiking cortical model