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Generation of Skin Diseases into Synthetic Fingerprints
Milan Barta, Martin Drahansky
Pages - 229 - 248 | Revised - 31-10-2016 | Published - 01-12-2016
Published in International Journal of Image Processing (IJIP)
MORE INFORMATION
KEYWORDS
Synthetic Fingerprint, SFinGe, Skin Disease, Wart, Atopic Dermatitis.
ABSTRACT
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.
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.
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Mr. Milan Barta
Faculty of Information Technology, Brno University of Technology - Czech Republic
milanbarta@gmail.com
Dr. Martin Drahansky
Faculty of Information Technology, Brno University of Technology - Czech Republic
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