The following information was submitted:
Transactions: NUMERICAL SCHEMES AND METHODS IN SCIENCE AND ENGINEERING
Transactions ID Number: 10-172
Full Name: Mahboubeh Shamsi
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: U8B 804 Kolej Perdana UTM, Skudai, Johor
Country: MALAYSIA
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E-mail address: mahboubehshamsi@yahoo.com
Other E-mails: rs.reza@gmail.com
Title of the Paper: An Ellipse Framework for Precise Iris Edge Detection
Authors as they appear in the Paper: Mahboubeh Shamsi, Puteh Bt Saad, Subariah Bt Ibrahim, Abdolreza Rasouli
Email addresses of all the authors: mahboubehshamsi@yahoo.com, drputeh@gmail.com, subariah@utm.my, rs.reza@gmail.com
Number of paper pages: 10
Abstract: Iris segmentation is the principal task of Iris based biometric identification systems. Always the low contrast between pupil and iris always affects on accuracy of detecting boundary between them. In order to increasing the accuracy of boundary detecting, we propose a new technique using a difference function and a factor matrix. We also enhance the technique to detect the pupil and iris as ellipse instead of circle. Experiments show that the proposed technique can segment the iris region and pupil region precisely. Based on our result, 99.34% of eyes have been segmented accurately in 1.24s averagely.
Keywords: Daugman’s method, Average Square Shrinking, Difference Function, Contour Factor Matrix
EXTENSION of the file: .doc
Special (Invited) Session: Iris Boundary Detection Using A Novel Algorithm
Organizer of the Session: 642-405
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IP ADDRESS: 161.139.151.96
