Detail publikace

BIOMETRIC FINGERPRINT LIVENESS DETECTION

VÁŇA, T. SMITAL, L.

Originální název

BIOMETRIC FINGERPRINT LIVENESS DETECTION

Český název

BIOMETRIC FINGERPRINT LIVENESS DETECTION

Anglický název

BIOMETRIC FINGERPRINT LIVENESS DETECTION

Typ

článek ve sborníku

Jazyk

cs

Originální abstrakt

This paper deals with biometric fingerprint liveness detection. A software-based liveness detection approach using neural network is proposed. To distinguish between live and fake samples, three image quality features extracted from one image are used. The algorithm is tested on LivDet database comprising real and fake images acquired with three sensors.

Český abstrakt

This paper deals with biometric fingerprint liveness detection. A software-based liveness detection approach using neural network is proposed. To distinguish between live and fake samples, three image quality features extracted from one image are used. The algorithm is tested on LivDet database comprising real and fake images acquired with three sensors.

Anglický abstrakt

This paper deals with biometric fingerprint liveness detection. And software-based liveness detection approach using neural network is proposed. To distinguish between live and fake samples, three image quality features extracted from one image are used. The algorithm is tested on LivDet database comprising real and fake images acquired with three sensors.

Klíčová slova

Biometric system, fingerprint, liveness detection, LivDet database, neural network

Rok RIV

2015

Vydáno

23.04.2015

Místo

Brno

ISBN

978-80-214-5148-3

Kniha

Proceedings of the 21st Conference STUDENT EEICT 2015

Strany od

258

Strany do

260

Strany počet

3

URL

BibTex


@inproceedings{BUT131688,
  author="Tomáš {Váňa} and Lukáš {Smital}",
  title="BIOMETRIC FINGERPRINT LIVENESS DETECTION",
  annote="This paper deals with biometric fingerprint liveness detection. A software-based liveness detection approach using neural network is proposed. To distinguish between live and fake samples, three image quality features extracted from one image are used. The algorithm is tested on LivDet database comprising real and fake images acquired with three sensors.
",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  chapter="131688",
  howpublished="print",
  year="2015",
  month="april",
  pages="258--260",
  type="conference paper"
}