Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Building Synthetic Graphical Documents for Performance Evaluation
Graphics Recognition. Recent Advances and New Opportunities
Report on the Third Contest on Symbol Recognition
Graphics Recognition. Recent Advances and New Opportunities
Performance measures for object detection evaluation
Pattern Recognition Letters
Report on the second symbol recognition contest
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Report on the symbol recognition and spotting contest
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
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This contest involved the running and evaluation of computer vision and pattern recognition techniques on different data sets with known groundtruth. The contest included three areas; binary shape recognition, symbol recognition and image flow estimation. A package was made available for each area. Each package contained either real images with manual groundtruth or programs to generate data sets of ideal as well as noisy images with known groundtruth. They also contained programs to evaluate the results of an algorithm according to the given groundtruth. These evaluation criteria included the generation of confusion matrices, computation of the misdetection and false alarm rates and other performance measures suitable for the problems. This paper summarizes the data generation for each area and experimental results for a total of six participating algorithms.