DocumentCode
3479376
Title
Iris Segmentation and Verification
Author
Ko, Jong-Gook ; Yoo, Jang-Hee ; Moon, Ki-Young
Author_Institution
Electron. & Telecommun. Res. Inst., Daejeon
fYear
2007
fDate
11-13 Oct. 2007
Firstpage
719
Lastpage
723
Abstract
Iris recognition includes eye imaging, iris localization and verification and so on. This paper proposes a novel method for iris localization based on mask template and an efficient iris verification that employs cumulative sum based grey change analysis. Experimental results show that proposed method can be used for human identification in efficient manner.
Keywords
biometrics (access control); eye; image recognition; image segmentation; cumulative sum; eye imaging; grey change analysis; human identification; iris localization; iris recognition; iris segmentation; iris verification; mask template; Biometrics; Feature extraction; Gabor filters; Image segmentation; Independent component analysis; Iris recognition; Pattern analysis; Support vector machine classification; Support vector machines; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007
Conference_Location
Jeju City
Print_ISBN
978-0-7695-2999-8
Type
conf
DOI
10.1109/FBIT.2007.72
Filename
4524194
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