Kannada Character Recognition Using Convolutional Neural Network

Authors

  • M Yamini, Manisha.C, Anusha.M, Manasa.M, Sarvamangala D R, Raghavendra Nayak P

Abstract

Character recognition of reading handwritten alphabets in regional languages is a complex problem and needs machine learning for solving the problem effectively. There are multiple machine learning algorithms proposed to read the characters and deep learning approach, Convolutional Neural Network is one among them. In the work proposed we build a character recognition system for recognizing kannada  alphabets. We have trained our model using our own dataset and trained model was tested with the test image. The model achieves 93%  accuracy in recognizing kannada alphabets.

Keywords: Optical Character Recognition(OCR) Convolutional  Neural  Network, K-Nearest Neighbour, Linear Discriminant Analysis,  Rectified Linear Unit

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Published

2020-05-16

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Section

Articles