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Peralta, Daniel; Triguero, Isaac; García, Salvador; Herrera, Francisco; Benitez, Jose M. (2016)
Publisher: Elsevier
Languages: English
Types: Article
Subjects:
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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