2024-03-29T09:30:52Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/3550
2021-12-13T06:14:14Z
1582963302567:1597824273898
user-ucsy
Handwritten Character Recognition using Morphological Operators with Competitive Neural Trees
Htike, Theingi
Thein, Yadana
In this paper an attempt is made to developMyanmar handwritten character recognitionsystem. Character recognition is an importantarea in image processing and patternrecognition fields. The aim of characterrecognition is to translate human readablecharacters to machine readable characters. Thepaper describes the process of characterrecognition using morphological operators withthe competitive neural trees. The morphologicaloperators are used to extract the edge of eachcharacter image. Then, competitive neural trees(CNeT) are used for classification. It is one ofthe fast supervised neural networks with highperformance. The main advantage of the CNeT isits structured, self-organizing architecture thatallows for short learning and recall times. Highspeed recognition rates can be gained by usingCNeT.
2011-05-05
http://hdl.handle.net/20.500.12678/0000003550
https://meral.edu.mm/records/3550