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
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;
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2012 2nd International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4673-4475-3
DOI :
10.1109/ICCKE.2012.6395342