An improved scheme for full fingerprint reconstruction
Different fingerprint recognition systems store minutiae-based fingerprint templates differently. Some store them inside a small token; some can be found in a server database. As the minutiae template is very compact, many take it for granted that the template does not contain sufficient information...
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sg-ntu-dr.10356-847902020-03-07T13:57:29Z An improved scheme for full fingerprint reconstruction Kot, Alex Chichung Li, Sheng. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Different fingerprint recognition systems store minutiae-based fingerprint templates differently. Some store them inside a small token; some can be found in a server database. As the minutiae template is very compact, many take it for granted that the template does not contain sufficient information for reconstructing the original fingerprint. This paper proposes a scheme to reconstruct a full fingerprint image from the minutiae points based on the amplitude and frequency modulated (AM-FM) fingerprint model. The scheme starts with generating a binary ridge pattern which has a similar ridge flow to that of the original fingerprint. The continuous phase is intuitively reconstructed by removing the spirals in the phase image estimated from the ridge pattern. To reduce the artifacts due to the discontinuity in the continuous phase, a refinement process is introduced for the reconstructed phase image, which is the combination of the continuous phase and the spiral phase (corresponding to the minutiae). Finally, the refined phase image is used to produce a thinned version of the fingerprint, from which a real-look alike gray-scale fingerprint image is reconstructed. The experimental results show that our proposed scheme performs better than the-state-of-the-art technique. Accepted version 2013-07-15T07:13:32Z 2019-12-06T15:51:12Z 2013-07-15T07:13:32Z 2019-12-06T15:51:12Z 2012 2012 Journal Article Li, S., & Kot, A. C. (2012). An Improved Scheme for Full Fingerprint Reconstruction. IEEE Transactions on Information Forensics and Security, 7(6), 1906-1912. https://hdl.handle.net/10356/84790 http://hdl.handle.net/10220/11439 10.1109/TIFS.2012.2212012 en IEEE transactions on information forensics and security © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TIFS.2012.2212012]. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Kot, Alex Chichung Li, Sheng. An improved scheme for full fingerprint reconstruction |
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Different fingerprint recognition systems store minutiae-based fingerprint templates differently. Some store them inside a small token; some can be found in a server database. As the minutiae template is very compact, many take it for granted that the template does not contain sufficient information for reconstructing the original fingerprint. This paper proposes a scheme to reconstruct a full fingerprint image from the minutiae points based on the amplitude and frequency modulated (AM-FM) fingerprint model. The scheme starts with generating a binary ridge pattern which has a similar ridge flow to that of the original fingerprint. The continuous phase is intuitively reconstructed by removing the spirals in the phase image estimated from the ridge pattern. To reduce the artifacts due to the discontinuity in the continuous phase, a refinement process is introduced for the reconstructed phase image, which is the combination of the continuous phase and the spiral phase (corresponding to the minutiae). Finally, the refined phase image is used to produce a thinned version of the fingerprint, from which a real-look alike gray-scale fingerprint image is reconstructed. The experimental results show that our proposed scheme performs better than the-state-of-the-art technique. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Kot, Alex Chichung Li, Sheng. |
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Article |
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Kot, Alex Chichung Li, Sheng. |
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Kot, Alex Chichung |
title |
An improved scheme for full fingerprint reconstruction |
title_short |
An improved scheme for full fingerprint reconstruction |
title_full |
An improved scheme for full fingerprint reconstruction |
title_fullStr |
An improved scheme for full fingerprint reconstruction |
title_full_unstemmed |
An improved scheme for full fingerprint reconstruction |
title_sort |
improved scheme for full fingerprint reconstruction |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/84790 http://hdl.handle.net/10220/11439 |
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