We describe the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols.
Jul 1, 2008 · We investigate the use of support vector machines to improve the classification of InftyReader, a free system for the OCR of mathematical ...
Abstract. Mathematical formulas challenge an OCR system with a range of similar-looking characters whose bold, calligraphic, and italic.
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This work describes the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols. Mathematical formulas ...
We present a support vector machine based hybrid recognition system that uses both online and offline information for classification. Probabilistic outputs from ...
We describe the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols. ResearchGate Logo. Discover ...
Feb 6, 2007 · Mathematical OCR was investigated as early as 1968 [1]; a survey of its diffi- culties and previous approaches may be found in [2].
This study discussed about recognizing the mathematical symbols in the figure using the Support Vector Machine (SVM) 5 . Support Vector Machine is used to ...
[PDF] Hybrid Mathematical Symbol Recognition using Support Vector ...
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Recognition of mathematical symbols is a challenging task, with a large set with many similar symbols. We present a support vector machine based hybrid ...
We describe the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols. References. Cortes ...