DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases
Nowadays, many companies and institutions need fast and reliable identification systems that are able to deal with very large databases. Fingerprints are among the most used biometric traits for identification. In the current literature there are fingerprint matching algorithms that are focused on e...
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| Format: | Article |
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Elsevier
2016
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| Online Access: | https://eprints.nottingham.ac.uk/33849/ |
| _version_ | 1848794718080598016 |
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| author | Peralta, Daniel Triguero, Isaac García, Salvador Herrera, Francisco Benitez, Jose M. |
| author_facet | Peralta, Daniel Triguero, Isaac García, Salvador Herrera, Francisco Benitez, Jose M. |
| author_sort | Peralta, Daniel |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Nowadays, many companies and institutions need fast and reliable identification systems that are able to deal with very large databases. Fingerprints are among the most used biometric traits for identification. In the current literature there are fingerprint matching algorithms that are focused on efficiency, whilst others are based on accuracy. In this paper we propose a flexible dual phase identification method, called DPD-DFF, that combines two fingers and two matchers within a hybrid fusion scheme to obtain both fast and accurate results. Different alternatives are designed to find a trade-off between runtime and accuracy that can be further tuned with a single parameter. The experiments show that DPD-DFF obtains very competitive results in comparison with the state-of-the-art score fusion techniques, especially when dealing with large databases or impostor fingerprints. |
| first_indexed | 2025-11-14T19:20:38Z |
| format | Article |
| id | nottingham-33849 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:20:38Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-338492020-05-04T20:00:13Z https://eprints.nottingham.ac.uk/33849/ DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases Peralta, Daniel Triguero, Isaac García, Salvador Herrera, Francisco Benitez, Jose M. Nowadays, many companies and institutions need fast and reliable identification systems that are able to deal with very large databases. Fingerprints are among the most used biometric traits for identification. In the current literature there are fingerprint matching algorithms that are focused on efficiency, whilst others are based on accuracy. In this paper we propose a flexible dual phase identification method, called DPD-DFF, that combines two fingers and two matchers within a hybrid fusion scheme to obtain both fast and accurate results. Different alternatives are designed to find a trade-off between runtime and accuracy that can be further tuned with a single parameter. The experiments show that DPD-DFF obtains very competitive results in comparison with the state-of-the-art score fusion techniques, especially when dealing with large databases or impostor fingerprints. Elsevier 2016-11 Article PeerReviewed Peralta, Daniel, Triguero, Isaac, García, Salvador, Herrera, Francisco and Benitez, Jose M. (2016) DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Information Fusion, 32 (Part A). pp. 40-51. ISSN 1566-2535 Real-time identification; Large databases; Minutiae matching; Fingerprint fusion; Decision fusion; Score fusion; Parallel computing; Biometrics http://dx.doi.org/10.1016/j.inffus.2016.03.002 doi:10.1016/j.inffus.2016.03.002 doi:10.1016/j.inffus.2016.03.002 |
| spellingShingle | Real-time identification; Large databases; Minutiae matching; Fingerprint fusion; Decision fusion; Score fusion; Parallel computing; Biometrics Peralta, Daniel Triguero, Isaac García, Salvador Herrera, Francisco Benitez, Jose M. DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases |
| title | DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases |
| title_full | DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases |
| title_fullStr | DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases |
| title_full_unstemmed | DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases |
| title_short | DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases |
| title_sort | dpd-dff: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases |
| topic | Real-time identification; Large databases; Minutiae matching; Fingerprint fusion; Decision fusion; Score fusion; Parallel computing; Biometrics |
| url | https://eprints.nottingham.ac.uk/33849/ https://eprints.nottingham.ac.uk/33849/ https://eprints.nottingham.ac.uk/33849/ |