Title :
Korean character recognition using neural networks
Author :
Koh, J. ; Moon, G.S. ; Mehrotra, K.G. ; Mohan, C.K. ; Ranka, S.
Author_Institution :
Syracuse Univ., NY, USA
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 :
character recognition; computerised pattern recognition; neural nets; Hough transform inputs; Korean character recognition; backpropagation algorithm; neural networks; printed Korean characters; Character recognition; Computational Intelligence Society; Data preprocessing; Image segmentation; Moon; Neural networks; Neurons; Pixel; Shape; Testing;
Conference_Titel :
Frontiers of Massively Parallel Computation, 1990. Proceedings., 3rd Symposium on the
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-2053-6
DOI :
10.1109/FMPC.1990.89454
