GREC 2007 Arc Segmentation Contest: Evaluation of Four Participating Algorithms

Faisal Shafait, Daniel Keysers, Thomas Breuel
Graphics Recognition: Recent Advances and New Opportunities (GREC 2007 post-proceedings), Curitiba, Brazil, Springer-Verlag, 2008

Abstract:

Automatic conversion of line drawings from paper to elec- tronic form requires the recognition of geometric primitives like lines, arcs, circles etc. in scanned documents. Many algorithms have been pro- posed over the years to extract lines and arcs from document images. To compare different state-of-the-art systems, an arc segmentation con- test was held in the seventh IAPR International Workshop on Graph- ics Recognition - GREC 2007. Four methods participated in the con- test, three of which were commercial systems and one was a research algorithm. This paper presents the results of the contest by giving an overview of the dataset used in the contest, evaluation methodology, participating methods and the segmentation accuracy achieved by the participating methods.

BibTex:

@inproceedings{ SHAF2008,
	Title = {GREC 2007 Arc Segmentation Contest: Evaluation of Four Participating Algorithms},
	Author = {Faisal Shafait and Daniel Keysers and Thomas Breuel},
	BookTitle = {Graphics Recognition: Recent Advances and New Opportunities (GREC 2007 post-proceedings)},
	Year = {2008},
	Publisher = {Springer-Verlag}
}

     
Last modified:: 30.08.2016