Abstract
This paper presents the final report of the outcome of the sixth edition of the Arc Segmentation Contest. The theme of this edition is segmentation of images with different scanning resolutions. The contest was held offline before the workshop. Nine document images were scanned with three resolutions each and the ground truth images were created manually. Four participants have provided the output of their research prototypes. Two prototypes are more established while the other two are still in development. In general, vectorization methods produces better results with low resolution scanned images. Participants' comments on the behavior of their methods are also included in this report. A website devoted for this edition of the contest to hold the newly created dataset and other materials related to the contest is also available. © 2013 Springer-Verlag.
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Al-Khaffaf, H. S. M., Talib, A. Z., & Osman, M. A. (2013). Final report of GREC’11 arc segmentation contest: Performance evaluation on multi-resolution scanned documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7423 LNCS, pp. 187–197). https://doi.org/10.1007/978-3-642-36824-0_18
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