Handwriting Segmentation Contest

Authors:
B. Gatos;A. Antonacopoulos;N. Stamatopoulos
Affiliations:
National Center for Scientific Research "Demokritos", GR-153 10 Agia Paraskevi, Athens, Greece;University of Salford, Manchester, M5 4WT, United Kingdom;National Center for Scientific Research "Demokritos", GR-153 10 Agia Paraskevi, Athens, Greece
Venue:
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Year:
2007

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Abstract

This paper presents the results of the Handwriting Segmentation Contest that was organized in the context of ICDAR2007. The aim of this contest was to use well established evaluation practices and procedures in order to record recent advances in off- line handwriting segmentation. Two benchmarking datasets (one for text line and one for word segmentation) were used in a common evaluation platform in order to test and compare all submitted algorithms for handwritten document segmentation in realistic circumstances. The results of the evaluation of five algorithms submitted by participants as well as of two state-of-the-art algorithms are presented. The performance evaluation method is based on counting the number of matches between the text lines or words detected by the algorithms and the text line or words of the ground truth.