Final Report of GREC’11 Arc Segmentation Contest: Performance Evaluation on Multi-resolution Scanned Documents

• Published in: Graphics Recognition. New Trends and Challenges pp. 187 - 197
• Main Authors: Al-Khaffaf, Hasan S. M., Talib, Abdullah Zawawi, Osman, Mohd Azam
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013
• Series: Lecture Notes in Computer Science
• Subjects: Empirical Performance Evaluation; Graphics Recognition; Line Drawings; Raster to Vector Conversion; Statistical Analysis
• ISBN: 9783642368233; 3642368239
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-642-36824-0_18

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.