Spoofing methods in hand-based biometrics
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130714" target="_blank" >RIV/00216305:26230/18:PU130714 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11694" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11694</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Spoofing methods in hand-based biometrics
Popis výsledku v původním jazyce
Biased or damaged biometric samples could be rejected after revealing their poor quality, or may be enhanced, what leads to the situation that samples, which would be normally rejected, are accepted after the enhancement process. But this process could present also a risk, because the poor quality of a sample could be caused not only by the sensor technology or the environment, but also by using an artificial biometric attribute [imitation of a finger(print)]. Such risk is not limited just to the deceptional technique, but if biometric system is not able to recognize whether an acquired biometric sample originates from a genuine living user or an impostor, we would then scan an artificial fake and try to enhance its quality using an enhancement algorithm.
Název v anglickém jazyce
Spoofing methods in hand-based biometrics
Popis výsledku anglicky
Biased or damaged biometric samples could be rejected after revealing their poor quality, or may be enhanced, what leads to the situation that samples, which would be normally rejected, are accepted after the enhancement process. But this process could present also a risk, because the poor quality of a sample could be caused not only by the sensor technology or the environment, but also by using an artificial biometric attribute [imitation of a finger(print)]. Such risk is not limited just to the deceptional technique, but if biometric system is not able to recognize whether an acquired biometric sample originates from a genuine living user or an impostor, we would then scan an artificial fake and try to enhance its quality using an enhancement algorithm.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Hand-Based Biometrics: Methods and Technology
ISBN
978-1-78561-224-4
Počet stran výsledku
32
Strana od-do
367-398
Počet stran knihy
430
Název nakladatele
The Institution of Engineering and Technology
Místo vydání
London
Kód UT WoS kapitoly
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