Handwritten Equation Intelligent Character Recognition with Neural Networks

نویسنده

  • STEVEN SLOSS
چکیده

We seek to implement intelligent character recognition of handwritten equations in a manner that allows for a computer program to translate a user’s hand-drawn equation into formatted LTEX. We use a Kohonen neural network fed by downsampled images to accomplish this task. While we were able to achieve single-character recognition with a very low error rate, multiple character recognition and whole equation recognition have proven elusive.

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تاریخ انتشار 2007