ML Anthology

Camera-Based ID Verification by Signature Tracking

Mario E. Munich, Pietro Perona
ECCV 1998 pp. 782-796
doi:10.1007/BFB0055704 /eccv/1998/munich1998eccv-camera/

Abstract

A number of vision-based biometric techniques have been proposed in the past for personal identification. We present a novel one based on visual capturing of signatures. This paper describes a system based on correlation and recursive prediction methods that can track the tip of the pen in real time, with sufficient spatio-temporal resolution and accuracy to enable signature verification. Several examples and the performance of the system are shown.

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Cite

Text

Munich and Perona. "Camera-Based ID Verification by Signature Tracking." European Conference on Computer Vision, 1998. doi:10.1007/BFB0055704

Markdown

[Munich and Perona. "Camera-Based ID Verification by Signature Tracking." European Conference on Computer Vision, 1998.](https://mlanthology.org/eccv/1998/munich1998eccv-camera/) doi:10.1007/BFB0055704

BibTeX

@inproceedings{munich1998eccv-camera,
  title     = {{Camera-Based ID Verification by Signature Tracking}},
  author    = {Munich, Mario E. and Perona, Pietro},
  booktitle = {European Conference on Computer Vision},
  year      = {1998},
  pages     = {782-796},
  doi       = {10.1007/BFB0055704},
  url       = {https://mlanthology.org/eccv/1998/munich1998eccv-camera/}
}