Level Three Synthetic Fingerprint Generation

@article{Wyzykowski2021LevelTS,
  title={Level Three Synthetic Fingerprint Generation},
  author={A. Wyzykowski and Maur{\'i}cio Pamplona Segundo and Rubisley de P. Lemes},
  journal={2020 25th International Conference on Pattern Recognition (ICPR)},
  year={2021},
  pages={9250-9257}
}
Today's legal restrictions that protect the privacy of biometric data are hampering fingerprint recognition researches. For instance, all high-resolution fingerprint databases ceased to be publicly available. To address this problem, we present a novel hybrid approach to synthesize realistic, high-resolution fingerprints. First, we improved Anguli, a handcrafted fingerprint generator, to obtain dynamic ridge maps with sweat pores and scratches. Then, we trained a CycleGAN to transform these… Expand

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