Partial fingerprint recognition using support vector machine

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 cla...

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Main Authors: Vijayaprasad, Perumal, Sulaiman, Md. Nasir, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza
Format: Article
Language:English
Published: Asian Network for Scientific Information 2010
Online Access:http://psasir.upm.edu.my/id/eprint/16046/1/Partial%20fingerprint%20recognition%20using%20support%20vector%20machine.pdf
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author Vijayaprasad, Perumal
Sulaiman, Md. Nasir
Mustapha, Norwati
O. K. Rahmat, Rahmita Wirza
author_facet Vijayaprasad, Perumal
Sulaiman, Md. Nasir
Mustapha, Norwati
O. K. Rahmat, Rahmita Wirza
author_sort Vijayaprasad, Perumal
collection UPM
description 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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spelling upm.eprints-160462018-10-24T03:00:02Z http://psasir.upm.edu.my/id/eprint/16046/ Partial fingerprint recognition using support vector machine Vijayaprasad, Perumal Sulaiman, Md. Nasir Mustapha, Norwati O. K. Rahmat, Rahmita Wirza 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. Asian Network for Scientific Information 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16046/1/Partial%20fingerprint%20recognition%20using%20support%20vector%20machine.pdf 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 http://scialert.net/abstract/?doi=itj.2010.844.848 10.3923/itj.2010.844.848
spellingShingle Vijayaprasad, Perumal
Sulaiman, Md. Nasir
Mustapha, Norwati
O. K. Rahmat, Rahmita Wirza
Partial fingerprint recognition using support vector machine
title Partial fingerprint recognition using support vector machine
title_full Partial fingerprint recognition using support vector machine
title_fullStr Partial fingerprint recognition using support vector machine
title_full_unstemmed Partial fingerprint recognition using support vector machine
title_short Partial fingerprint recognition using support vector machine
title_sort partial fingerprint recognition using support vector machine
url http://psasir.upm.edu.my/id/eprint/16046/1/Partial%20fingerprint%20recognition%20using%20support%20vector%20machine.pdf
work_keys_str_mv AT vijayaprasadperumal partialfingerprintrecognitionusingsupportvectormachine
AT sulaimanmdnasir partialfingerprintrecognitionusingsupportvectormachine
AT mustaphanorwati partialfingerprintrecognitionusingsupportvectormachine
AT okrahmatrahmitawirza partialfingerprintrecognitionusingsupportvectormachine