Researchspace >
General science, engineering & technology >
General science, engineering & technology >
General science, engineering & technology >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3769

Title: Fingerprint pattern classification approach based on the coordinate geometry of singularities
Authors: Msiza, IS
Leke-Betechuoh, B
Nelwamondo, FV
Msimang, N
Keywords: Automatic fingerprint pattern classification
Coordinate geometry
Central twins
Tented arch
Left loop
Right loop
Plain arch
Issue Date: Oct-2009
Publisher: Institute of Electrical and Electronics Engineering (IEEE)
Citation: Msiza, IS, Leke-Betechuoh, B, Nelwamondo, FV and Msimang, N. 2009. Fingerprint pattern classification approach based on the coordinate geometry of singularities. 2009 IEEE International Conference on Systems, Man, and Cybernetics. San Antonio, Texas, USA, 11 - 14 October 2009, pp 516-523
Abstract: The problem of Automatic Fingerprint Pattern Classification (AFPC) has been studied by many fingerprint biometric practitioners. It is an important concept because, in instances where a relatively large database is being queried for the purposes of fingerprint matching, it serves to reduce the duration of the query. The fingerprint classes discussed in this document are the Central Twins (CT), Tented Arch (TA), Left Loop (LL), Right Loop (RL) and the Plain Arch (PA). The classification rules employed in this problem involve the use of the coordinate geometry of the detected singular points. Using a confusion matrix to evaluate the performance of the fingerprint classifier, a classification accuracy of 83.5% was obtained on the five-class problem. This performance evaluation was done by making use of fingerprint images from one of the databases of the year 2002 version of the Fingerprint Verification Competition (FVC2002).
Description: Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
URI: http://hdl.handle.net/10204/3769
ISBN: 9781424427949
Appears in Collections:Safety and security
Information security
Digital intelligence
General science, engineering & technology

Files in This Item:

File Description SizeFormat
Msiza2_2009.pdf1.92 MBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback