Publication detail

Thermal hand image segmentation for biometric recognition

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

Original Title

Thermal hand image segmentation for biometric recognition

English Title

Thermal hand image segmentation for biometric recognition

Type

journal article in Web of Science

Language

en

Original Abstract

The aim of this work is to introduce a new concept of hand image segmentation in the thermal spectrum and provide a robust source for the consequent biometric recognition. The hand segmentation in the thermal spectrum is challenging from many reasons, e.g. a possible presence of cold fingers, rings, sleeves, etc. This works describes how to deal with these limitations and how to reach a high recognition accuracy.

English abstract

The aim of this work is to introduce a new concept of hand image segmentation in the thermal spectrum and provide a robust source for the consequent biometric recognition. The hand segmentation in the thermal spectrum is challenging from many reasons, e.g. a possible presence of cold fingers, rings, sleeves, etc. This works describes how to deal with these limitations and how to reach a high recognition accuracy.

Keywords

Thermal image, hand recognition, segmentation, biometry

RIV year

2013

Released

07.06.2013

ISBN

0885-8985

Periodical

IEEE Aerospace and Electronic Systems Magazine

Year of study

28

Number

6

State

US

Pages from

4

Pages to

14

Pages count

11

Documents

BibTex


@article{BUT101893,
  author="Xavier {Font-Aragones} and Marcos {Faúndez Zanuy} and Jiří {Mekyska}",
  title="Thermal hand image segmentation for biometric recognition",
  annote="The aim of this work is to introduce a new concept of hand image segmentation in the thermal spectrum and provide a robust source for the consequent biometric recognition. The hand segmentation in the thermal spectrum is challenging from many reasons, e.g. a possible presence of cold fingers, rings, sleeves, etc. This works describes how to deal with these limitations and how to reach a high recognition accuracy.",
  chapter="101893",
  number="6",
  volume="28",
  year="2013",
  month="june",
  pages="4--14",
  type="journal article in Web of Science"
}