ML Anthology

A Geometric Approach to Machine-Printed Character Recognition

Li Wang, Theo Pavlidis
CVPR 1992 pp. 665-668
doi:10.1109/CVPR.1992.223206 /cvpr/1992/wang1992cvpr-geometric/

Abstract

An approach to feature extraction that eliminates binarization by extracting features directly from gray scale images is presented. It not only allows the processing of poor quality input (e.g., low contrast, dirty images), but also offers the possibility of significantly lower resolution for digitization.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Wang and Pavlidis. "A Geometric Approach to Machine-Printed Character Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223206

Markdown

[Wang and Pavlidis. "A Geometric Approach to Machine-Printed Character Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/wang1992cvpr-geometric/) doi:10.1109/CVPR.1992.223206

BibTeX

@inproceedings{wang1992cvpr-geometric,
  title     = {{A Geometric Approach to Machine-Printed Character Recognition}},
  author    = {Wang, Li and Pavlidis, Theo},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {665-668},
  doi       = {10.1109/CVPR.1992.223206},
  url       = {https://mlanthology.org/cvpr/1992/wang1992cvpr-geometric/}
}