© Springer-Verlag Berlin Heidelberg 2014. Recognition of geometric primitives such as line and arc helps in automatic conversion of line drawing document images into electronic form. A large number of raster to vector methods can be found in the literature. A line and arc segmentation contest was held in conjunction with the tenth IAPR International Workshop on Graphics Recognition (GREC 2013) for comparing performance of different methods on a uniform platform. The contest was broken down into two challenges: arc segmentation and line segmentation. The dataset includes engineering drawings (for arc segmentation challenge) and cadastral maps (for line segmentation challenge). Jianping Wu’s method got the highest score (0.541), hence the winner of the Arc Segmentation Contest. LiuWenyin’s method, the only method participated in the line segmentation contest achieved 66% segmentation accuracy.
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Publication status||Published - 2014|
Bukhari, S. S., Al-Khaffaf, H. S. M., Shafait, F., Osman, M. A., Talib, A. Z., & Breuel, T. M. (2014). Final report of GREC’13 arc and line segmentation contest. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8746, 234-239. https://doi.org/10.1007/978-3-662-44854-0 18