ML Anthology

Robust Crease Detection in Fingerprint Images

Chenyu Wu, Jie Zhou, Zhaoqi Bian, Gang Rong
CVPR 2003 pp. 505-512
doi:10.1109/CVPR.2003.1211509 /cvpr/2003/wu2003cvpr-robust/

Abstract

We study a pattern in the fingerprint called a crease, a kind of stripe which irregularly crosses the normal fingerprint patterns (ridges and valleys). Creases will cause spurious minutiae when using a conventional feature detection algorithm, and therefore decreases the recognition rate of fingerprint identification. By representing the crease using a parameterized rectangle, we design an optimal filter as a detector. We employ a multi-channel filtering framework to detect creases in different orientations. In each channel, PCA is used to extract a rectangle's parameters from the raw detected results. Our algorithm is demonstrated by experiments.

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Cite

Text

Wu et al. "Robust Crease Detection in Fingerprint Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211509

Markdown

[Wu et al. "Robust Crease Detection in Fingerprint Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/wu2003cvpr-robust/) doi:10.1109/CVPR.2003.1211509

BibTeX

@inproceedings{wu2003cvpr-robust,
  title     = {{Robust Crease Detection in Fingerprint Images}},
  author    = {Wu, Chenyu and Zhou, Jie and Bian, Zhaoqi and Rong, Gang},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2003},
  pages     = {505-512},
  doi       = {10.1109/CVPR.2003.1211509},
  url       = {https://mlanthology.org/cvpr/2003/wu2003cvpr-robust/}
}