Thermal hand image segmentation for biometric recogniton

Título:	Thermal hand image segmentation for biometric recogniton
Autores/as:	Mekyska, Jirí Font-Aragones, Xavier Faundez-Zanuy, Marcos Hernández-Mingorance, Rubén Morales, Aythami Ferrer-Ballester, Miguel Ángel
Clasificación UNESCO:	3307 Tecnología electrónica
Palabras clave:	image segmentation infrared imaging vein recognition
Fecha de publicación:	2011
Publicación seriada:	Proceedings - International Carnahan Conference on Security Technology
Conferencia:	2011 IEEE International Carnahan Conference on Security Technology, ICCST 2011
Resumen:	Image segmentation is a first step for most of the biometric systems. In this paper we present a hand image segmentation algorithm for thermographic images. This work is based on a specially acquired database with a thermographic camera TESTO 882-3, which acquires thermal images of 320×240 pixels as well as visible images of 640×480 pixels. Experimental results reveal that thermal images are harder to segment from the background than visible images. Specially for some users. However, thermal images provide some interesting information, such as the vein pattern distribution.
URI:	http://hdl.handle.net/10553/46153
ISBN:	9781457709029
ISSN:	1071-6572
DOI:	10.1109/CCST.2011.6095877
Fuente:	Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (06095877)
Colección:	Actas de congresos

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