Handwriting Recognition with Artificial Neural Networks and OpenCV

نویسنده

  • Tristan Wright
چکیده

Two brief arguments are made for why handwriting recognition is important. Existing approaches and my approach are summarized along with the stated goals of my project. The full handwriting recognition pipeline of scanning, segmenting, and recognition is examined and described thoroughly in order. Feed forward Artificial Neural Networks are explained on a low level along with their weaknesses and how to go about character recognition with one. The outcome of the project is summarized, two of the three project goals are marked as incomplete. Speculation on future work on the project is given should the project’s problems get fixed.

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تاریخ انتشار 2012