Level Three Synthetic Fingerprint Generation

• PREPRINT: https://arxiv.org/abs/2002.03809
• Video presentation: https://youtu.be/AueL2WUEjD4

L3-SF Database Download

• Download: https://drive.google.com/file/d/1Pxlx_j8Ji8B969U0IzLhl3xCQU6eL9vp/view?usp=sharing
• The password for the .zip file is “hbPrAGQY47jkFsurduAyVXBZdSsg6T” (without quotes).

L3-SF

• A public database of L3 synthetic fingerprint images with five subsets of 148 identities, with 10 samples per identity, totaling 7400 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.

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) 2020, 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.