The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 89-697
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: A New Accurate Technique for Iris Boundary Detection
Authors as they appear in the Paper: Mahboubeh Shamsi, Puteh BT Saad, Subariah BT Ibrahim, Abdolreza Rasouli, Nazeema BT Abdulrahim
Email addresses of all the authors: mahboubehshamsi@yahoo.com, drputeh@gmail.com, subariah@utm.my, rs.reza@gmail.com, iema_830619@yahoo.com
Number of paper pages: 10
Abstract: The Iris based identification systems have been noticed exceedingly, presently. In this process, the iris should be segmented from captured eye image. The low contrast between pupil and iris, usually, will harden the segmenting process and will decrease the accuracy of detecting boundary between them. In order to segment the iris more precise, we propose a new technique using a difference function and a factor matrix. We also modify the segmentation operator 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: .pdf
Special (Invited) Session: Iris Boundary Detection Using A Novel Algorithm
Organizer of the Session: 642-405
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