@inproceedings{e2004d936f864864a316e98c511e4177,
title = "Performance evaluation tools for zone segmentation and classification (PETS)",
abstract = "This paper describes a set of Performance Evaluation ToolS (PETS) for document image zone segmentation and classification. The tools allow researchers and developers to evaluate, optimize and compare their algorithms by providing a variety of quantitative performance metrics. The evaluation of segmentation quality is based on the pixel-based overlaps between two sets of zones proposed by Randriamasy and Vincent [1]. PETS extends the approach by providing a set of metrics for overlap analysis, RLE and polygonal representation of zones and introduces type-matching to evaluate zone classification. The software is available for research use.",
keywords = "Evaluation document image segmentation detection classification",
author = "Wontaek Seo and Mudit Agrawal and David Doermann",
year = "2010",
doi = "10.1109/ICPR.2010.1123",
language = "English",
isbn = "9780769541099",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "503--506",
booktitle = "Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010",
address = "United States",
}