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  1. University of Computer Studies, Yangon
  2. Conferences

Handwriting Digit Recognition Using Genetic Algorithm

http://hdl.handle.net/20.500.12678/0000003436
http://hdl.handle.net/20.500.12678/0000003436
4c6e954f-bd2e-40c7-9a8b-6cc76e199529
ef400f7f-a247-4019-96ac-7665a01adacf
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psc2010paper psc2010paper (237).pdf (343 Kb)
Publication type
Article
Upload type
Publication
Title
Title Handwriting Digit Recognition Using Genetic Algorithm
Language en
Publication date 2010-12-16
Authors
Myint, Nan San San
Thwin, Khin Lay
Description
Handwriting digit recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In this paper, this system used to recognize the handwritten digits of Kayin language. Genetic algorithm gives an effective Kayin digit to determine the optimal weight parameters that are multiplied by the network outputs. Neural networks have been recognized as a powerful tool for pattern recognition problems. This system checked the digit that is written manually by users and used Genetic Algorithm to produce the output result in order to recognize the Kayin digit. Then, it produces the nearly similar Kayin digit pattern.
Keywords
Handwriting digit recognition, Artificial Neural Network, Genetic Algorithm
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1186
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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