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

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.

[1]  Bart Lamiroy,et al.  Robust and Precise Circular Arc Detection , 2009, GREC.

[2]  Patrick Olivier,et al.  Visual Informatics: Sustaining Research and Innovations , 2011, Lecture Notes in Computer Science.

[3]  Daniel P. Lopresti,et al.  A platform for storing, visualizing, and interpreting collections of noisy documents , 2010, AND '10.

[4]  Dov Dori,et al.  A protocol for performance evaluation of line detection algorithms , 1997, Machine Vision and Applications.

[5]  Daniel P. Lopresti,et al.  An Open Architecture for End-to-End Document Analysis Benchmarking , 2011, 2011 International Conference on Document Analysis and Recognition.

[6]  Beijing Friendship Hotel 11th International Conference on Document Analysis and Recognition (ICDAR 2011) , 2011 .

[7]  Abdullah Zawawi Talib,et al.  Empirical Performance Evaluation of Raster to Vector Conversion with Different Scanning Resolutions , 2011, IVIC.

[8]  J. Mauchly Significance Test for Sphericity of a Normal $n$-Variate Distribution , 1940 .

[9]  Abdullah Zawawi Talib,et al.  Empirical Performance Evaluation of Raster-to-Vector Conversion Methods: A Study on Multi-Level Interactions between Different Factors , 2011, IEICE Trans. Inf. Syst..

[10]  S. Shapiro,et al.  An Analysis of Variance Test for Normality (Complete Samples) , 1965 .

[11]  N. D. Bhatt,et al.  Machine Drawing , 2022, Nature.

[12]  Riccardo Russo,et al.  A Student's Guide to Analysis of Variance , 1999 .

[13]  Dov Dori,et al.  Incremental Arc Segmentation Algorithm and Its Evaluation , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Abdullah Zawawi Talib,et al.  GREC'09 Arc Segmentation Contest: Performance Evaluation on Old Documents , 2009, GREC.