NDLI: Fusing iris and conjunctival vasculature: Ocular biometrics in the visible spectrum

Content Provider	IEEE Xplore Digital Library
Author	Gottemukkula, V. Saripalle, S.K. Tankasala, S.P. Derakhshani, R. Pasula, R. Ross, A.
Copyright Year	2012
Description	Author affiliation: Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA (Pasula, R.; Ross, A.) \|\| Dept. of Computer Science and Electrical Engineering, University of Missouri - Kansas City, USA (Gottemukkula, V.; Saripalle, S.K.; Tankasala, S.P.; Derakhshani, R.)
Abstract	Ocular biometrics refers to the imaging and use of characteristic features of the eyes for personal identification. Traditionally, the iris has been viewed as a powerful ocular biometric cue. However, the iris is typically imaged in the near infrared (NIR) spectrum. RGB images of the iris, acquired in the visible spectrum, offer limited biometric information for dark-colored irides. In this work, we explore the possibility of performing ocular biometric recognition in the visible spectrum by utilizing the iris in conjunction with the vasculature observed in the white of the eye. We design a weighted fusion scheme to combine the information originating from these two modalities. Experiments on a dataset of 50 subjects indicate that such a fusion scheme improves the equal error rate by a margin of 4.5% over an iris-only approach.
Starting Page	150
Ending Page	155
File Size	618205
Page Count	6
File Format	PDF
ISBN	9781467327084
e-ISBN	9781467327091
DOI	10.1109/THS.2012.6459841
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iris Image segmentation Bi-modal biometrics Tiles RGB iris Vectors Face Conjunctival vasculature Iris recognition
Content Type	Text
Resource Type	Article

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