A Karnaugh-Map based fingerprint minutiae extraction method

Fingerprint is one of the most promising method among all the biometric techniques and has been used for thepersonal authentication for a long time because of its wide acceptance and reliability. Features (Minutiae) are extracted fromthe fingerprint in question and are compared with the features alr...

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Main Authors: Sunil Kumar Singla, Ajat Shatru Arora
Format: Article
Language:English
Published: Prince of Songkla University 2010-07-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
Online Access:http://www.rdoapp.psu.ac.th/html/sjst/journal/32-3/0125-3395-32-3-247-254.pdf
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author Sunil Kumar Singla
Ajat Shatru Arora
author_facet Sunil Kumar Singla
Ajat Shatru Arora
author_sort Sunil Kumar Singla
collection DOAJ
description Fingerprint is one of the most promising method among all the biometric techniques and has been used for thepersonal authentication for a long time because of its wide acceptance and reliability. Features (Minutiae) are extracted fromthe fingerprint in question and are compared with the features already stored in the database for authentication. Crossingnumber (CN) is the most commonly used minutiae extraction method for fingerprints. In this paper, a new Karnaugh-Mapbased fingerprint minutiae extraction method has been proposed and discussed. In the proposed algorithm the 8 neighborsof a pixel in a 33 window are arranged as 8 bits of a byte and corresponding hexadecimal (hex) value is calculated. Thesehex values are simplified using standard Karnaugh-Map (K-map) technique to obtain the minimized logical expression.Experiments conducted on the FVC2002/Db1_a database reveals that the developed method is better than the crossingnumber (CN) method.
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spelling doaj.art-a6fa9ab3c7794c0a8508d65ebb070dff2022-12-21T19:07:48ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952010-07-01323247254A Karnaugh-Map based fingerprint minutiae extraction methodSunil Kumar SinglaAjat Shatru AroraFingerprint is one of the most promising method among all the biometric techniques and has been used for thepersonal authentication for a long time because of its wide acceptance and reliability. Features (Minutiae) are extracted fromthe fingerprint in question and are compared with the features already stored in the database for authentication. Crossingnumber (CN) is the most commonly used minutiae extraction method for fingerprints. In this paper, a new Karnaugh-Mapbased fingerprint minutiae extraction method has been proposed and discussed. In the proposed algorithm the 8 neighborsof a pixel in a 33 window are arranged as 8 bits of a byte and corresponding hexadecimal (hex) value is calculated. Thesehex values are simplified using standard Karnaugh-Map (K-map) technique to obtain the minimized logical expression.Experiments conducted on the FVC2002/Db1_a database reveals that the developed method is better than the crossingnumber (CN) method.http://www.rdoapp.psu.ac.th/html/sjst/journal/32-3/0125-3395-32-3-247-254.pdffingerprintbiometricsminutiae extractioncrossing numberKarnaugh-Map
spellingShingle Sunil Kumar Singla
Ajat Shatru Arora
A Karnaugh-Map based fingerprint minutiae extraction method
Songklanakarin Journal of Science and Technology (SJST)
fingerprint
biometrics
minutiae extraction
crossing number
Karnaugh-Map
title A Karnaugh-Map based fingerprint minutiae extraction method
title_full A Karnaugh-Map based fingerprint minutiae extraction method
title_fullStr A Karnaugh-Map based fingerprint minutiae extraction method
title_full_unstemmed A Karnaugh-Map based fingerprint minutiae extraction method
title_short A Karnaugh-Map based fingerprint minutiae extraction method
title_sort karnaugh map based fingerprint minutiae extraction method
topic fingerprint
biometrics
minutiae extraction
crossing number
Karnaugh-Map
url http://www.rdoapp.psu.ac.th/html/sjst/journal/32-3/0125-3395-32-3-247-254.pdf
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