Improved Greedy Snake Model for Detecting Accurate Pupil Contour

摘要：

Accurate pupil contour detection is vital for irisbased biometric systems. In this paper, a new algorithm for detecting precise pupil contour is proposed. An improved greedy snake model is presented, wherein new external energy function is designed. This external energy is extracted based on the angular integral projection function (AIPF), which is a general function to perform image integral projection along angular directions. First, the approximate pupil center is obtained as the center of mass of the binarized iris image, then the pupil circular contour is localized. Finally, the accurate pupil contour is detected by employing the improved greedy snake model being initiated on the detected pupil circle. Experimental results on CASIA V3.0 iris image database, show that the improved greedy snake model is comparable with conventional greedy snake model, and the algorithm outperforms other well-known existing methods for iris segmentation in both terms of accuracy and processing time.

关键词： greedy snake projection function external energy function pupil

作者: Ann A. Jarjes Kuanquan Wang Ghassan J. Mohammed

作者单位: School of Computer Science and Technology Harbin Institute of Technology (HIT) Harbin, 150001, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 515-519

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）