DocumentCode
2123849
Title
Improved identification of iris and eyelash features
Author
Youmaran, Richard ; Xie, L.P. ; Adler, Andy
Author_Institution
Carleton Univ., Ottawa, ON
fYear
2008
fDate
24-26 June 2008
Firstpage
387
Lastpage
390
Abstract
This paper proposes a novel algorithm to improve localization and segmentation of an iris image. Since in many practical applications, user cooperation is not possible, eyelash occlusion can seriously affect the performance of an iris recognition system. This paper discusses a robust method for accurate localization and segmentation of the exact iris region without eyelash occlusion. Our algorithm uses a logarithmic image enhancement technique and the Hough transform for iris localization as well as an intensity gradient based method for eyelash detection using local region statistics of the image. Experimental results show the accuracy of our algorithm leading to exact iris region segmentation.
Keywords
Hough transforms; biometrics (access control); image enhancement; image recognition; image segmentation; Hough transform; eyelash detection; eyelash features; eyelash occlusion; iris identification; iris image localization; iris image segmentation; iris recognition system; local region statistics; logarithmic image enhancement technique; Eyelashes; Image enhancement; Image segmentation; Iris recognition; Lighting; Phase detection; Pixel; Security; Statistics; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008 24th Biennial Symposium on
Conference_Location
Kingston, ON
Print_ISBN
978-1-4244-1945-6
Electronic_ISBN
978-1-4244-1946-3
Type
conf
DOI
10.1109/BSC.2008.4563282
Filename
4563282
Link To Document