Korean character recognition using neural networks

Jeongwan Koh; Gwi-Seong Moon; K. Mehrotra; Chilukuri K. Mohan; Sanjay Ranka

doi:10.1109/fmpc.1990.89454

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Korean character recognition using neural networks

Jeongwan Koh Gwi-Seong Moon K. Mehrotra Chilukuri K. Mohan Sanjay Ranka

Year: 2002 Vol: 1 Pages: 162-165

DOI: 10.1109/fmpc.1990.89454

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Abstract

A neural network approach for recognizing printed Korean characters, based on a variant of the backpropagation algorithm, is presented. Implementation of the algorithms for neural networks with Hough transform inputs provided excellent recognition: about 81% of the training samples and 73% of the tested samples can be recognized.< >

Keywords:

Artificial neural network Backpropagation Character (mathematics) Computer science Artificial intelligence Character recognition Pattern recognition (psychology) Optical character recognition Speech recognition Image (mathematics) Mathematics

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Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Korean character recognition using neural networks

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