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Handwriting recognizer using neural net

18 Views· 28 Jun 2019
Cornell_Uni
Cornell_Uni
5 subscribers
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http://people.ece.cornell.edu/....land/courses/ece4760
Our project implements a touchpad input system which takes user input and converts it to a printed character. Currently, the device only recognizes the 26 letters of the alphabet, but our training system could be easily generalized to include any figure of completely arbitrary shape, including alphanumerics, punctuation, and other symbols. A stylus is used to draw the figure/character on the touchpad, and the result is shown on an LCD display. Pushbutton controls allow the user to format the text on the display.

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