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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Bibliographic Details
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
Description
Summary: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.
ISSN:0125-3395