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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Asian Network for Scientific Information
2010
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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. |
first_indexed | 2024-03-06T07:36:09Z |
format | Article |
id | upm.eprints-16046 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T07:36:09Z |
publishDate | 2010 |
publisher | Asian Network for Scientific Information |
record_format | dspace |
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 |