Generating Ground Truthed Dataset of Chart Images: Automatic or Semi-automatic?
Graphics Recognition. Recent Advances and New Opportunities
DIAR: Advances in Degradation Modeling and Processing
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Semi-automatic ground truth generation for chart image recognition
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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The problem of generating synthetic data for the training and evaluation of document analysis systems has been widely addressed in recent years. With the increased interest in processing multilingual sources, however, there is a tremendous need to be able to rapidly generate data in new languages and scripts, without the need to develop specialized systems. We have developed an approach, which uses language support of the MS Windows operating system combined with custom print drivers to render tiff images simultaneously with windows Enhanced Metafile directives. The Metafile information is parsed to generate zone, line, word, and character ground truth including location, font information and content in any language supported by Windows. The resulting images can be physically or synthetically degraded, and used for training and evaluating OCR systems. In this paper, we briefly survey related work and describe our system.