Recognition of Online Handwritten Mathematical Expressions Using Convolutional Neural Networks
نویسندگان
چکیده
We further investigate the problem of recognizing handwritten mathematical expressions, which we also chose for our CS221 final project [3]. Being able to change handwritten expressions into LATEX has applications for consumers and academics. While large amounts of work have been done for digit and character recognition [2] [10], much less progress has been made surrounding handwritten expression recognition. To the best of our knowledge, no papers have been published applying Convolutional Neural Networks (CNNs) to the task of handwritten expression recognition. We build an end-to-end system using our best CNN model to go from strokes to symbols to a LATEX expression. We also compare our results to other systems; experimental evaluation suggests that CNNs are a powerful tool for handwritten mathematical expression recognition.
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