Speeding up and enhancing a large-scale fingerprint identification system on GPU

Le, Hong Hai and Nguyen, Ngoc Hoa and Nguyen, Tri Thanh (2017) Speeding up and enhancing a large-scale fingerprint identification system on GPU. Journal of Information and Telecommunication . pp. 1-16. ISSN 2475-1839

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Abstract

Fingerprint identification is one of the most common biometric feature problems which is used in many applications. Although state-of-the-art algorithms are very accurate, the need for fast processing a big database of millions of fingerprints is highly demanding. In this paper, we propose to adapt the fingerprint matching algorithm based on minutia cylinder-code (MCC) on Graphics Processing Units (GPUs) to speed up the matching. Another contribution of this paper is to add a consolidation stage after matching to enhance the precision. The experimental results on a GTX-680 and a K40 tesla devices with standard datasets prove the proposed algorithm can be comparable with the state-of-the-art approach, and suitable for a real time identification application.

Item Type:	Article
Subjects:	Information Technology (IT)
Divisions:	Faculty of Information Technology (FIT)
Depositing User:	Ass. Prof. Tri-Thanh NGUYEN
Date Deposited:	29 Nov 2017 08:36
Last Modified:	04 Dec 2017 09:31
URI:	http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2695

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• Speeding up and enhancing a large-scale fingerprint identification system on GPU. (deposited 29 Nov 2017 08:36) [Currently Displayed]
  • Speeding up and enhancing a large-scale fingerprint identification system on GPU. (deposited 21 Dec 2018 01:05)

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