A Comparison Framework for Fingerprint Recognition Methods
Many fingerprint recognition methods have been proposed and the need arises for a methodology to compare these methods, in order to be able to decide whether a particular method is better than another. In this paper, we report on our effort to develop a methodology to compare the robustness of finge...
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2011
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id-ugm-repo.351132014-07-14T03:44:38Z https://repository.ugm.ac.id/35113/ A Comparison Framework for Fingerprint Recognition Methods Novianto, Ary Pulungan, Reza Computation Theory and Mathematics Information Technology Many fingerprint recognition methods have been proposed and the need arises for a methodology to compare these methods, in order to be able to decide whether a particular method is better than another. In this paper, we report on our effort to develop a methodology to compare the robustness of fingerprint recognition methods. As a case study, we apply this methodology to compare two recent fingerprint recognition algorithms proposed by Chikkerur (2005) and Wibowo (2006). We are able to conclude that, overall, Chikkerur’s algorithm performs better than Wibowo’s. 2011-07-05 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/35113/1/NP-SEAMS-11.pdf Novianto, Ary and Pulungan, Reza (2011) A Comparison Framework for Fingerprint Recognition Methods. In: The 6th South East Asian Mathematical Society-Gadjah Mada University (SEAMS-GMU) 2011 International Conference on Mathematics and Its Applications, July 12-15, 2011, Yogyakarta. |
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| building |
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| language |
English |
| topic |
Computation Theory and Mathematics Information Technology |
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Computation Theory and Mathematics Information Technology Novianto, Ary Pulungan, Reza A Comparison Framework for Fingerprint Recognition Methods |
| description |
Many fingerprint recognition methods have been proposed and the need arises for a methodology to compare these methods, in order to be able to decide whether a particular method is better than another. In this paper, we report on our effort to develop a methodology to compare the robustness of fingerprint recognition methods. As a case study, we apply this methodology to compare two recent fingerprint recognition algorithms proposed by Chikkerur (2005) and Wibowo (2006). We are able to conclude that, overall, Chikkerur’s algorithm performs better than Wibowo’s. |
| format |
Conference or Workshop Item PeerReviewed |
| author |
Novianto, Ary Pulungan, Reza |
| author_facet |
Novianto, Ary Pulungan, Reza |
| author_sort |
Novianto, Ary |
| title |
A Comparison Framework for Fingerprint Recognition Methods |
| title_short |
A Comparison Framework for Fingerprint Recognition Methods |
| title_full |
A Comparison Framework for Fingerprint Recognition Methods |
| title_fullStr |
A Comparison Framework for Fingerprint Recognition Methods |
| title_full_unstemmed |
A Comparison Framework for Fingerprint Recognition Methods |
| title_sort |
comparison framework for fingerprint recognition methods |
| publishDate |
2011 |
| url |
https://repository.ugm.ac.id/35113/1/NP-SEAMS-11.pdf https://repository.ugm.ac.id/35113/ |
| _version_ |
1681219450309705728 |