Latent fingerprint segmentation with adaptive total variation model

@article{Zhang2012LatentFS,
  title={Latent fingerprint segmentation with adaptive total variation model},
  author={Jiangyang Zhang and Rongjie Lai and C.-C. Jay Kuo},
  journal={2012 5th IAPR International Conference on Biometrics (ICB)},
  year={2012},
  pages={189-195}
}
Image segmentation is an important step in automatic fingerprint identification systems. While tremendous progress has been made in rolled and plain fingerprint segmentation, the segmentation of latent fingerprints is still a difficult problem. Features used for rolled and plain fingerprint images fail to work properly on latent images due to the poor quality in ridge information and the presence of multiple types of strong structured noise. In this work, we present an adaptive total variation… CONTINUE READING
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