Preliminary evaluation of multispectral iris imagery

Autor:	Hau Ngo, Robert W. Ives, S. D. Winchell, J. R. Matey
Rok vydání:	2012
Předmět:	Colored Biometrics Image texture Computer science Image matching business.industry Iris recognition Multispectral image Computer vision IRIS (biosensor) Artificial intelligence business
Zdroj:	IET Conference on Image Processing (IPR 2012).
DOI:	10.1049/cp.2012.0450
Popis:	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. (5 pages)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f31117ac4265231ff8be61e91ab26cc8 https://doi.org/10.1049/cp.2012.0450 Zobrazit plný text záznamu