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Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
2009
2009 10th International Conference on Document Analysis and Recognition
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image analysis and is at heart of most graphic recognition systems. Our method uses structural approach for symbol representation and statistical classifier for symbol recognition. In our system we represent symbols by their graph based signatures: a graphic symbol is vectorized and is converted to an attributed relational
doi:10.1109/icdar.2009.92
dblp:conf/icdar/LuqmanBR09
fatcat:tyk2kvhjozdtlfbt4tzzbppmge