Final report of GREC'11 arc segmentation contest: performance evaluation on multi-resolution scanned documents

Authors:
Hasan S. M. Al-Khaffaf;Abdullah Zawawi Talib;Mohd Azam Osman
Affiliations:
Image Understanding and Pattern Recognition Research Group (IUPR), Technische Universität Kaiserslautern, Kaiserslautern, Germany,School of Computer Sciences, Universiti Sains Malaysia, Penan ...;School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia;School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia
Venue:
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Year:
2011

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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.