A div-curl regularization model for fingerprint orientation extraction

@article{Cao2012ADR,
  title={A div-curl regularization model for fingerprint orientation extraction},
  author={Kai Cao and Jimin Liang and Jie Tian},
  journal={2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)},
  year={2012},
  pages={231-236}
}
Extracting reliable fingerprint orientation over low quality fingerprints is still a challenging problem. In this paper, we analyze the distribution of divergence and curl of fingerprint orientation vector field. Then a div-curl regularization model is proposed to minimize the combination of weighted divergence, curl and data fidelity term. This model yields a new nonlinear partial differential equation (PDE) for orientation regularization. The equation has an adaptive diffusivity depending on… CONTINUE READING

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