PINK PANTHER: A COMPLETE ENVIRONMENT FOR GROUND-TRUTHING AND BENCHMARKING DOCUMENT PAGE SEGMENTATION
Identifieur interne : 000270 ( Istex/Curation ); précédent : 000269; suivant : 000271PINK PANTHER: A COMPLETE ENVIRONMENT FOR GROUND-TRUTHING AND BENCHMARKING DOCUMENT PAGE SEGMENTATION
Auteurs : Berrin A. Yanikoglu [États-Unis] ; Luc Vincent [États-Unis]Source :
- Pattern Recognition [ 0031-3203 ] ; 1997.
Abstract
We describe a new approach for the automatic evaluation of document page segmentation algorithms. Unlike techniques that rely on OCR output, our method is region-based: segmentation quality is assessed by comparing the segmentation output, described as a set of regions, to the corresponding ground-truth. Error maps are used to keep track of all the errors associated with each pixel, regardless of the document complexity. Misclassifications, splitting, and merging of regions are among the errors detected by the system. Each error can be weighted individually and the system can be customized to benchmark virtually any type of segmentation task.
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DOI: 10.1016/S0031-3203(97)00137-4
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Berrin A. Yanikoglu<affiliation><mods:affiliation>E-mail: berrin@almaden.ibm.com</mods:affiliation><wicri:noCountry code="no comma">E-mail: berrin@almaden.ibm.com</wicri:noCountry></affiliation><affiliation wicri:level="1"><mods:affiliation>IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120</wicri:regionArea></affiliation>Le document en format XML
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