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  1. University of Computer Studies, Yangon
  2. Conferences

Off-line Myanmar Character Recognition based on Competitive Neural Trees

http://hdl.handle.net/20.500.12678/0000003605
http://hdl.handle.net/20.500.12678/0000003605
aa12da89-8fe5-4f8d-b596-dd678dad8cd7
7b5cca3b-8c63-4850-ba8b-52effd661b44
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Title
Title Off-line Myanmar Character Recognition based on Competitive Neural Trees
Language en
Publication date 2014-02-17
Authors
Htike, Theingi
Thein, Yadana
Description
Neural network classifier methods and decision treesare widely used in various pattern recognitionresearch areas. Among them, printed characterrecognition still faces some issues in all languages.Myanmar sentences character recognition based onCompetitive Neural Trees (CNeT) is proposed in thispaper. CNeT performs hierarchical classification andapply competitive unsupervised learning at nodelabel. The goals of Myanmar character recognitionare to obtain better recognition accuracy rate androbust in geometric character shapes of differentstyles. Three main steps such as preprocessing, shapefeature descriptors extraction and recognition areimplemented in our experiment. Shape featuredescriptors are extracted from preprocessed imageswhich are used in Competitive Neural Trees (CNeT)recognition. This paper discusses a global searchmethod for the CNeT, which is utilized for training.
Keywords
Myanmar printed characters, CNeT, global search method
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/134
Journal articles
Twelfth International Conference On Computer Applications (ICCA 2014)
Conference papers
Books/reports/chapters
Thesis/dissertations
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