andrewyzy / MR-SF

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Multiresolution Synthetic Fingerprint Generation

MR-SF

  • A public database of L3 and L2 synthetic fingerprint images, each one containing five subsets of 148 identities, with 10 samples per identity, totaling 14800 high-resolution fingerprint images.
  • We include sweat pore annotations for 740 images to assist in pore detection research.
  • The synthetic fingerprints contain L3 traits, such as distinct ridge contours and incipient ridges, features that increase the reliability of fingerprint recognition.
  • Huge texture improvement on the fingerprint images.
  • Scratches on fingerprint images.

MR-SF Database Download

Authors

  • André Brasil Vieira Wyzykowski
  • Mauricio Pamplona Segundo
  • Rubisley de Paula Lemes

Citing

@misc{wyzykowski2020level,
    title={Level Three Synthetic Fingerprint Generation},
    author={André Brasil Vieira Wyzykowski and Mauricio Pamplona Segundo and Rubisley de Paula Lemes},
    year={2020},
    eprint={2002.03809},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

License

Copyright (c) 2021, André Brasil Vieira Wyzykowski, Mauricio Pamplona Segundo, Rubisley de Paula Lemes, Federal University of Bahia, Salvador, Brazil

This work is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International License.

To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

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