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: | , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
Asian Network for Scientific Information
2010
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| 在線閱讀: | http://psasir.upm.edu.my/id/eprint/16046/1/Partial%20fingerprint%20recognition%20using%20support%20vector%20machine.pdf http://psasir.upm.edu.my/id/eprint/16046/ http://scialert.net/abstract/?doi=itj.2010.844.848 |
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| 機構: | Universiti Putra Malaysia |
| 語言: | English |
| 總結: | 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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