6533b86dfe1ef96bd12c9e9d

RESEARCH PRODUCT

Khmer character recognition using artificial neural network

Hann MengDaniel Morariu

subject

ComputingMethodologies_PATTERNRECOGNITIONArtificial neural networkComputer sciencebusiness.industryTime delay neural networkIntelligent character recognitionMultilayer perceptronPattern recognition (psychology)Feature (machine learning)NeocognitronArtificial intelligencebusinessBackpropagation

description

Character Recognition has become an interesting and a challenge topic research in the field of pattern recognition in recent decade. It has numerous applications including bank cheques, address sorting and conversion of handwritten or printed character into machine-readable form. Artificial neural network including self-organization map and multilayer perceptron network with the learning ability could offer the solution to character recognition problem. In this paper presents Khmer Character Recognition (KCR) system implemented in Matlab environment using artificial neural networks. The KCR system described the utilization of integrated self-organization map (SOM) network and multilayer perceptron (MLP) network with backpropagation learning algorithm for Khmer character recognition problem.

yearjournalcountryeditionlanguage
2014-12-01Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific
https://doi.org/10.1109/apsipa.2014.7041824