DocumentCode
2074411
Title
Multispectral Iris Analysis: A Preliminary Study51
Author
Boyce, Christopher ; Ross, Arun ; Monaco, Matthew ; Hornak, Lawrence ; Li, Xin
Author_Institution
West Virginia University, USA
fYear
2006
fDate
17-22 June 2006
Firstpage
51
Lastpage
51
Abstract
This paper explores the possibility of using multispectral iris information to enhance the recognition performance of an iris biometric system. Commercial iris recognition systems typically sense the iridal reflection pertaining to the near-infrared (IR) range of the electromagnetic spectrum. This work examines the iris information represented in the visible and IR portion of the spectrum. It is hypothesized that, based on the color of the eye, different components of the iris are highlighted at multiple wavelengths. To this end, an acquisition procedure for obtaining co-registered multispectral iris images associated with the IR, Red, Green and Blue wavelengths of the electromagnetic spectrum, is first discussed. The components of the iris that are revealed in multiple spectral channels/wavelengths based on the color of the eye are studied. An adaptive histogram equalization scheme is invoked to enhance the iris structure. The performance of iris recognition across multiple wavelengths is next evaluated. Experiments indicate the potential of using multispectral information to enhance the performance of iris recognition systems.
Keywords
Anatomy; Computer science; Connective tissue; Focusing; Iris recognition; Muscles; Pattern analysis; Pigmentation; Reflectivity; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshop, 2006. CVPRW '06. Conference on
Print_ISBN
0-7695-2646-2
Type
conf
DOI
10.1109/CVPRW.2006.141
Filename
1640491
Link To Document