TY - GEN
T1 - Improved greedy snake model for detecting accurate pupil contour
AU - Jarjes, Ann A.
AU - Wang, Kuanquan
AU - Mohammed, Ghassan J.
PY - 2011
Y1 - 2011
N2 - Accurate pupil contour detection is vital for iris-based 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.
AB - Accurate pupil contour detection is vital for iris-based 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.
KW - external energy function
KW - greedy snake
KW - projection function
KW - pupil
UR - https://www.scopus.com/pages/publications/80053330044
U2 - 10.1109/ICACC.2011.6016466
DO - 10.1109/ICACC.2011.6016466
M3 - 会议稿件
AN - SCOPUS:80053330044
SN - 9781424488087
T3 - 2011 3rd International Conference on Advanced Computer Control, ICACC 2011
SP - 515
EP - 519
BT - 2011 3rd International Conference on Advanced Computer Control, ICACC 2011
T2 - 3rd IEEE International Conference on Advanced Computer Control, ICACC 2011
Y2 - 18 January 2011 through 20 January 2011
ER -