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A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network
http://hdl.handle.net/20.500.12678/0000006801
http://hdl.handle.net/20.500.12678/000000680153145853-f0a7-42e6-b139-f09bc57bd27b
4c31f59d-2ed2-4c6c-b6c9-5d6de6b2261b
Name / File | License | Actions |
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Framework of Handwritten Myanmar Digits and Characters Recognition.pdf (496 KB)
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network | |||||
Language | en | |||||
Publication date | 2008-09-18 | |||||
Authors | ||||||
Hlaing May Tin | ||||||
Description | ||||||
This paper describes a framework for recognizing the handwritten Myanmar digits and characters with the help of multilayer feedforward neural network by using backpropagation algorithm. Supervised learning is used in this system. First the network is trained with several handwritings form of Myanmar digits and characters from various person and then recognized the tested new handwritings of those Myanmar digits and characters. Matlab programming language is used to implement this system. | ||||||
Keywords | ||||||
Multilayer Feedforward Neural Network, Backpropagation Algorithm, Handwritten | ||||||
Conference papers | ||||||
AICT | ||||||
18/9/2008 | ||||||
1st Conference on Applied Information and Communication Technology | ||||||
UCSM |