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Visual Signature Verification Using Affine Arc-Length

Mario E. Munich, Pietro Perona
CVPR 1999 pp. 2180-2186
doi:10.1109/CVPR.1999.784627 /cvpr/1999/munich1999cvpr-visual/

Abstract

Signatures can be acquired with a camera-based system with enough resolution to perform verification. This paper presents the performance of a visual-acquisition signature verification system, emphasizing on the importance of the parameterisation of the signature in order to achieve good classification results. A technique to overcome the lack of examples in order to estimate the generalization error of the algorithm is also described.

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Cite

Text

Munich and Perona. "Visual Signature Verification Using Affine Arc-Length." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999. doi:10.1109/CVPR.1999.784627

Markdown

[Munich and Perona. "Visual Signature Verification Using Affine Arc-Length." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999.](https://mlanthology.org/cvpr/1999/munich1999cvpr-visual/) doi:10.1109/CVPR.1999.784627

BibTeX

@inproceedings{munich1999cvpr-visual,
  title     = {{Visual Signature Verification Using Affine Arc-Length}},
  author    = {Munich, Mario E. and Perona, Pietro},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1999},
  pages     = {2180-2186},
  doi       = {10.1109/CVPR.1999.784627},
  url       = {https://mlanthology.org/cvpr/1999/munich1999cvpr-visual/}
}