Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

Peralta, Daniel and Triguero, Isaac and García, Salvador and Saeys, Yvan and Benitez, Jose M. and Herrera, Francisco (2017) Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowledge-Based Systems, 126 . pp. 91-103. ISSN 1872-7409

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Abstract

Fingerprint recognition has been a hot research topic along the last few decades, with many applications and ever growing populations to identify. The need of flexible, fast identification systems is therefore patent in such situations. In this context, fingerprint classification is commonly used to improve the speed of the identification. This paper proposes a complete identification system with a hierarchical classification framework that fuses the information of multiple feature extractors. A feature selection is applied to improve the classification accuracy. Finally, the distributed identification is carried out with an incremental search, exploring the classes according to the probability order given by the classifier. A single parameter tunes the trade-off between identification time and accuracy. The proposal is evaluated over two NIST databases and a large synthetic database, yielding penetration rates close to the optimal values that can be reached with classification, leading to low identification times with small or no accuracy loss.

Item Type: Article
Keywords: Fingerprint recognition; Fingerprint identification; Fingerprint classification; Large databases; Feature selection; Hierarchical classification
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: /10.1016/j.knosys.2017.03.014
Depositing User: Eprints, Support
Date Deposited: 24 Mar 2017 14:29
Last Modified: 05 May 2017 01:15
URI: http://eprints.nottingham.ac.uk/id/eprint/41561

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