Generation of Skin Diseases into Synthetic Fingerprints

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU122423" target="_blank" >RIV/00216305:26230/16:PU122423 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.cscjournals.org/library/manuscriptinfo.php?mc=IJIP-1097" target="_blank" >http://www.cscjournals.org/library/manuscriptinfo.php?mc=IJIP-1097</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Generation of Skin Diseases into Synthetic Fingerprints

Popis výsledku v původním jazyce

People suffering from skin diseases on their fingers have often problems with fingerprint biometric recognition. Therefore, it is necessary to train the recognition algorithms using databases of fingerprints acquired from such affected patients. However, such databases are hard to obtain. Therefore, we propose an algorithm of synthetic fingerprints modification, so that they appear as fingerprints affected by selected skin diseases. Two most common diseases have been chosen - warts and atopic dermatitis. The proposed solution has been tested using NEUROtechnology VeriFinger and NIST NFIQ 2. The experimental results confirmed that the proposed solution modifies synthetic fingerprints in such a way that the recognition score of VeriFinger drops significantly and several NFIQ 2 quality features report a decrease in quality of the fingerprints.

Název v anglickém jazyce

Generation of Skin Diseases into Synthetic Fingerprints

Popis výsledku anglicky

People suffering from skin diseases on their fingers have often problems with fingerprint biometric recognition. Therefore, it is necessary to train the recognition algorithms using databases of fingerprints acquired from such affected patients. However, such databases are hard to obtain. Therefore, we propose an algorithm of synthetic fingerprints modification, so that they appear as fingerprints affected by selected skin diseases. Two most common diseases have been chosen - warts and atopic dermatitis. The proposed solution has been tested using NEUROtechnology VeriFinger and NIST NFIQ 2. The experimental results confirmed that the proposed solution modifies synthetic fingerprints in such a way that the recognition score of VeriFinger drops significantly and several NFIQ 2 quality features report a decrease in quality of the fingerprints.

Druh

J_ost - Ostatní články v recenzovaných periodicích

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)

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)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Image Processing

ISSN

1985-2304

e-ISSN

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Svazek periodika

10

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

MY - Malajsie

Počet stran výsledku

20

Strana od-do

229-248

Kód UT WoS článku

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EID výsledku v databázi Scopus

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