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Printed Character Recognition based on Shape Descriptors with Competitive Neural Trees
http://hdl.handle.net/20.500.12678/0000004867
http://hdl.handle.net/20.500.12678/00000048679b41777b-98ae-4e0f-a925-3f3780e03055
f875da96-0568-40a4-8b2c-3901c4f85680
Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Printed Character Recognition based on Shape Descriptors with Competitive Neural Trees | |||||
Language | en | |||||
Publication date | 2013-02-26 | |||||
Authors | ||||||
Thein, Yadana | ||||||
Htike, Theingi | ||||||
Description | ||||||
CompetitiveNeural Trees (CNeT) are widely used forclassification in pattern recognition. This paper appliesthis technique for recognizing of Myanmar printedcharacter s . This paper involves three important steps,typically preprocessing, feature extraction andclassification. The aim of prepro cessing is to improvethe quality of the images for further processing . Afterpre processing, features for each character image areextracted based on Shape description. Shape is animportant visual feature and it is one of the basicfeatures used to descr ibe image content. These featurevector from word images which are used in CompetitiveNeural Trees (CNeT) for recognition purpose. Thispaper introduces a global search method for the CNeT,which is utilized for training. | ||||||
Keywords | ||||||
Myanmar printed characters, CNeT, global search method | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/763 | |||||
Journal articles | ||||||
Eleventh International Conference On Computer Applications (ICCA 2013) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |