Improved greedy snake model for detecting accurate pupil contour

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 an...

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Vydáno v:2011 3rd International Conference on Advanced Computer Control s. 515 - 519
Hlavní autoři: Jarjes, A. A., Kuanquan Wang, Mohammed, G. J.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.01.2011
Témata:
Accuracy
external energy function
greedy snake
projection function
pupil
ISBN:1424488095, 9781424488094
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Abstract 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.
AbstractList 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.
Author Jarjes, A. A.
Mohammed, G. J.
Kuanquan Wang
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  organization: Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol. (HIT), Harbin, China
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Snippet 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...
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StartPage 515
SubjectTerms Accuracy
external energy function
greedy snake
projection function
pupil
Title Improved greedy snake model for detecting accurate pupil contour
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