Offline Tracing and Representation of Signatures

Abstract

An approach for representing signatures in an offline environment is presented. The approach first makes a tracing of a signature similar to the way a human normally does, using hierarchical decision-making for stroke identification and ordering based on a set of heuristic rules. The dynamic information from the tracing sequence is then incorporated into the representation of the signature. A multiresolution critical-point segmentation method is used to extract local feature points, at varying degrees of scale and coarseness, for subsequent representation of the signature. Experimental results are discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Pan and Lee. "Offline Tracing and Representation of Signatures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139779

Markdown

[Pan and Lee. "Offline Tracing and Representation of Signatures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/pan1991cvpr-offline/) doi:10.1109/CVPR.1991.139779

BibTeX

@inproceedings{pan1991cvpr-offline,
  title     = {{Offline Tracing and Representation of Signatures}},
  author    = {Pan, Jack Chien-Jan and Lee, Sukhan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {679-680},
  doi       = {10.1109/CVPR.1991.139779},
  url       = {https://mlanthology.org/cvpr/1991/pan1991cvpr-offline/}
}