Thermal hand image segmentation for biometric recogniton

Author

Mekyska, Jiri ; Font-Aragones, X. ; Faundez-Zanuy, Marcos ; Hernandez-Mingorance, R. ; Morales, Aythami ; Ferrer-Ballester, Miguel Angel

Author_Institution

Dept. of Telecommun., VUT Brno, Brno, Czech Republic

fYear

2011

fDate

18-21 Oct. 2011

Firstpage

1

Lastpage

5

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 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.

Keywords

image segmentation; infrared imaging; vein recognition; biometric recogniton; thermal hand image segmentation; thermographic camera TESTO 882-3; thermographic images; vein pattern distribution; Accuracy; Active shape model; Cameras; Correlation; Feature extraction; Image registration; Image segmentation; 8. Biometrics; Sensor and detection technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Security Technology (ICCST), 2011 IEEE International Carnahan Conference on

Conference_Location

Barcelona

ISSN

1071-6572

Print_ISBN

978-1-4577-0902-9

Type

conf

DOI

10.1109/CCST.2011.6095877

Filename

6095877