Publication detail

Thermal hand image segmentation for biometric recognition

MEKYSKA, J. FONT-ARAGONES, X. FAÚNDEZ ZANUY, M. HERNÁNDEZ-MINGORANCE, R. MORALES, A. FERRER-BALLESTER, M.

Original Title

Thermal hand image segmentation for biometric recognition

English Title

Thermal hand image segmentation for biometric recognition

Type

conference paper

Language

en

Original Abstract

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 320x240 pixels as well as visible images of 640x480 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.

English abstract

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 320x240 pixels as well as visible images of 640x480 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.

Keywords

hand segmentation, thermal image, biometrics

RIV year

2011

Released

18.10.2011

ISBN

978-1-4577-0902-9

Book

Proceedings of 45th annual IEEE International Carnahan Conference on Security Technology

Pages from

26

Pages to

30

Pages count

5

BibTex


@inproceedings{BUT74462,
  author="Jiří {Mekyska} and Xavier {Font-Aragones} and Marcos {Faúndez Zanuy} and Rubén {Hernández-Mingorance} and Aythami {Morales} and Miguel Ángel {Ferrer-Ballester}",
  title="Thermal hand image segmentation for biometric recognition",
  annote="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 320x240 pixels as well as visible images of 640x480 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.",
  booktitle="Proceedings of 45th annual IEEE International Carnahan Conference on Security Technology",
  chapter="74462",
  howpublished="online",
  year="2011",
  month="october",
  pages="26--30",
  type="conference paper"
}