Benchmarking Page Segmentation Algorithms
Abstract
A method for automatically evaluating the quality of document page segmentation algorithms is introduced. Many different zoning techniques are now available but there is no robust method available to benchmark and evaluate them reliably. Our proposed strategy is a region-based approach, in which segmentation results are compared with manually generated "ground truth files", describing all possible correct segmentations. A segmentation ground truthing scheme has been proposed. The evaluation of segmentation quality is achieved by testing the overlap between the two sets of regions. In fact, the regions are defined as the "black" pixels contained in the extracted polygons. An explicit specification of segmentation errors and a numerical evaluation are derived. The algorithm is simple and fast, and provides a multi-level output for each segmentation.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Randriamasy and Vincent. "Benchmarking Page Segmentation Algorithms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323859Markdown
[Randriamasy and Vincent. "Benchmarking Page Segmentation Algorithms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/randriamasy1994cvpr-benchmarking/) doi:10.1109/CVPR.1994.323859BibTeX
@inproceedings{randriamasy1994cvpr-benchmarking,
title = {{Benchmarking Page Segmentation Algorithms}},
author = {Randriamasy, Sabine and Vincent, Luc M.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1994},
pages = {411-416},
doi = {10.1109/CVPR.1994.323859},
url = {https://mlanthology.org/cvpr/1994/randriamasy1994cvpr-benchmarking/}
}