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17 lines
814 B
Text
17 lines
814 B
Text
Autoren: Thoma, Martin; Kilgour, Kevin; Stüker, Sebastian; Waibel, Alexander
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Titel: On-line Recognition of Handwritten Mathematical Symbols
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Institut: Institute for Anthropomatics and Robotics
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Abstract (max 500 Zeichen):
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This paper presents a classification system which uses the pen trajectory to
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classify handwritten symbols. Five preprocessing steps, one data multiplication
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algorithm, five features and five variants for multilayer Perceptron training
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were evaluated using $\num{166898}$ recordings. The evaluation results of
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21~experiments were used to create an optimized recognizer. This improvement
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was achieved by \acrlong{SLP} and adding new features.
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Keywords (max 5): recognition; machine learning; neural networks; symbols;
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multilayer perceptron
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Geplanter Veröffentlichungstermin: 1. August 2015
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