DocumentCode
584710
Title
Iris boundary detection using an ellipse integro differential method
Author
Shamsi, Mahboubeh ; Kenari, Abdolreza Rasouli
Author_Institution
Fac. of Electr. & Comput. Eng., Univ. of Technol., Qom, Iran
fYear
2012
fDate
18-19 Oct. 2012
Firstpage
1
Lastpage
5
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
edge detection; integro-differential equations; iris recognition; matrix algebra; boundary detection; difference function; ellipse integro differential method; factor matrix; iris based biometric identification systems; iris boundary detection; iris segmentation; Accuracy; Computers; Image edge detection; Image segmentation; Iris; Iris recognition; Signal processing algorithms; Average Square Shrinking; Contour Factor Matrix; Daugman´s method; Difference Function;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Knowledge Engineering (ICCKE), 2012 2nd International eConference on
Conference_Location
Mashhad
Print_ISBN
978-1-4673-4475-3
Type
conf
DOI
10.1109/ICCKE.2012.6395342
Filename
6395342
Link To Document