Citation
Vijayaprasad, Perumal and Sulaiman, Md. Nasir and Mustapha, Norwati and O. K. Rahmat, Rahmita Wirza
(2010)
Partial fingerprint recognition using support vector machine.
Information Technology Journal, 9 (4).
pp. 844-848.
ISSN 1812-5638; ESSN: 1812-5646
Abstract
In this study, a novel partial fingerprint matching approach that uses global minutiae matching and the support vector machine is presented. Global minutiae-based matching algorithm is used to record the matching pairs and their feature vectors are used to generate a model file which is used for classification. The traditional minutiae-based matching approach is studied as a classification approach by using support vector machine. We used fingerprint verification competition databases for our evaluation. Results from our experiment showed 98.5% of matching is achieved compared to 97.6% obtained using flow network-based approach.
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Official URL or Download Paper: http://scialert.net/abstract/?doi=itj.2010.844.848
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| DOI Number: | https://doi.org/10.3923/itj.2010.844.848 |
| Publisher: | Asian Network for Scientific Information |
| Keywords: | Partial fingerprint; Minutiae; Classification; SVM |
| Depositing User: | Ms. Nida Hidayati Ghazali |
| Date Deposited: | 23 Jul 2013 06:40 |
| Last Modified: | 24 Oct 2018 03:00 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3923/itj.2010.844.848 |
| URI: | http://psasir.upm.edu.my/id/eprint/16046 |
| Statistic Details: | View Download Statistic |
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