@article{SisLab3361,
           month = {May},
           title = {Speeding up and enhancing a large-scale fingerprint identification system on GPU},
          author = {Hong Hai Le and Ngoc Hoa Nguyen and Tri Thanh Nguyen},
       publisher = {Taylor \& Francis},
            year = {2018},
           pages = {1--16},
         journal = {Journal of Information and Telecommunication},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3361/},
        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.}
}