DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases

Peralta, Daniel and Triguero, Isaac and García, Salvador and 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

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Abstract

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.

Item Type: Article
Keywords: Real-time identification; Large databases; Minutiae matching; Fingerprint fusion; Decision fusion; Score fusion; Parallel computing; Biometrics
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1016/j.inffus.2016.03.002
Depositing User: Triguero, Isaac
Date Deposited: 08 Jun 2016 13:36
Last Modified: 14 Sep 2016 09:27
URI: http://eprints.nottingham.ac.uk/id/eprint/33849

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