Title :
Preliminary evaluation of multispectral iris imagery
Author :
Ives, R.W. ; Ngo, Hau ; Winchell, S.D. ; Matey, J.R.
Author_Institution :
Electr. & Comput. Eng. Dept., United States Naval Acad., Annapolis, MD, USA
Abstract :
The unique patterns of complex texture that are visible in iris images captured under near-infrared illumination are highly stable and can be used for high confidence biometric recognition. Similar patterns are visible in lighter colored irises under visible light. This paper presents an analysis of a database of iris images captured using multispectral illumination, from 405 nm to 1070 nm in wavelength. The analysis is based on matching performance using a Daugman-based commercial implementation of the iris recognition algorithm. We find that illumination wavelength has a very significant effect on iris recognition performance.
Keywords :
image colour analysis; image matching; image texture; iris recognition; lighting; visual databases; Daugman-based commercial implementation; biometric recognition; complex texture pattern; iris image database analysis; iris recognition algorithm; matching performance; multispectral illumination; multispectral iris imagery; near-infrared illumination; wavelength 405 nm to 1070 nm; Hamming distance; biometrics; iris; multispectral;
Conference_Titel :
Image Processing (IPR 2012), IET Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-632-1
DOI :
10.1049/cp.2012.0450
