Detail publikace

A New Hand Image Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums

FAÚNDEZ ZANUY, M. MEKYSKA, J. FONT-ARAGONES, X.

Originální název

A New Hand Image Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

In this paper, we present a new hand database called Tecnocampus Hand Image Database that includes right hand, palm and dorsal images. All the images have been acquired with three different sensors (visible, near-infrared and thermal). This database consists of 100 people acquired in five different acquisition sessions, two images per session and palm/dorsal sides. The total amount of pictures is 6.000, and it is mainly developed for hand image biometric recognition purposes. In addition, the database has been studied from the information theory point of view, and we found that this highest level of information is achieved in thermal spectrum. Furthermore, a low level of mutual information between different spectrums is also demonstrated. This opens an interesting research field in multi-sensor data fusion.

Klíčová slova

Thermal image, visible image, near-infrared image, hand image

Autoři

FAÚNDEZ ZANUY, M.; MEKYSKA, J.; FONT-ARAGONES, X.

Rok RIV

2014

Vydáno

2. 6. 2014

ISSN

1866-9956

Periodikum

Cognitive Computation

Ročník

6

Číslo

2

Stát

Spojené státy americké

Strany od

230

Strany do

240

Strany počet

11

BibTex

@article{BUT108786,
  author="Marcos {Faúndez Zanuy} and Jiří {Mekyska} and Xavier {Font-Aragones}",
  title="A New Hand Image Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums",
  journal="Cognitive Computation",
  year="2014",
  volume="6",
  number="2",
  pages="230--240",
  doi="10.1007/s12559-013-9230-3",
  issn="1866-9956"
}