用神经网络识别韩文字符

[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation Pub Date : 1990-10-08 DOI:10.1109/FMPC.1990.89454

J. Koh, G. S. Moon, K. Mehrotra, C. Mohan, Sanjay Ranka

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引用次数: 1

摘要

基于反向传播算法的一种变体，提出了一种用于汉字识别的神经网络方法。使用霍夫变换输入的神经网络算法的实现提供了出色的识别:大约81%的训练样本和73%的测试样本可以被识别。

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Korean character recognition using neural networks

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.<>

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[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation

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