Introducing the 2nd Place of the Japan Demo Day, June 30th, 2021 from Minh Nguyen, with Handwritten Mathematical Expression Recognition, a system to read, interpret, and translate handwritten mathematical expressions from images to LaTeX code, which is the standard for digital math expression syntax.
Thanks to the development of deep learning and neural networks, optical character recognition (OCR) is getting more and more accurate. While some impressive API has been commercialized (Mathpix, MyScript), these systems are closed source and use private datasets for training.
In his project, Minh Nguyen develops a similar system to read, interpret and translate mathematical expressions from images to LaTeX code, which is the standard for digital math expression syntax.
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