A Visual and Interactive Tool for Optimizing Lexical Postcorrection of OCR Results
Abstract
Systems for postcorrection of OCR-results can be fine tuned and adapted to new recognition tasks in many respects. One issue is the selection and adaption of a suitable background dictionary. Another issue is the choice of a correction model, which includes, among other decisions, the selection of an appropriate distance measure for strings and the choice of a scoring function for ranking distinct correction alternatives. When combining the results obtained from distinct OCR engines, further parameters have to be fixed. Due to all these degrees of freedom, adaption and fine tuning of systems for lexical postcorrection is a difficult process. Here we describe a visual and interactive tool that semi-automates the generation of ground truth data, partially automates adjustment of parameters, yields active support for error analysis and thus helps to find correction strategies that lead to high accuracy with realistic effort.
Cite
Text
Strohmaier et al. "A Visual and Interactive Tool for Optimizing Lexical Postcorrection of OCR Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2003. doi:10.1109/CVPRW.2003.10031Markdown
[Strohmaier et al. "A Visual and Interactive Tool for Optimizing Lexical Postcorrection of OCR Results." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2003.](https://mlanthology.org/cvprw/2003/strohmaier2003cvprw-visual/) doi:10.1109/CVPRW.2003.10031BibTeX
@inproceedings{strohmaier2003cvprw-visual,
title = {{A Visual and Interactive Tool for Optimizing Lexical Postcorrection of OCR Results}},
author = {Strohmaier, Christian M. and Ringlstetter, Christoph and Schulz, Klaus U. and Mihov, Stoyan},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2003},
pages = {32},
doi = {10.1109/CVPRW.2003.10031},
url = {https://mlanthology.org/cvprw/2003/strohmaier2003cvprw-visual/}
}