BIOMETRIC FINGERPRINT LIVENESS DETECTION
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU122038" target="_blank" >RIV/00216305:26220/15:PU122038 - isvavai.cz</a>
Result on the web
<a href="http://eeict.feec.vutbr.cz/" target="_blank" >http://eeict.feec.vutbr.cz/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
BIOMETRIC FINGERPRINT LIVENESS DETECTION
Original language description
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.
Czech name
BIOMETRIC FINGERPRINT LIVENESS DETECTION
Czech description
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.
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 21st Conference STUDENT EEICT 2015
ISBN
978-80-214-5148-3
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
258-260
Publisher name
Neuveden
Place of publication
Brno
Event location
Brno
Event date
Apr 23, 2015
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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