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Mohnyin University
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Myanmar Institute of Information Technology
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National Management Degree College
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Naypyitaw State Academy
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Pathein University
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Sagaing University
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Sagaing University of Education
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Taunggyi University
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Technological University, Hmawbi
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Technological University (Kyaukse)
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Technological University Mandalay
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University of Computer Studies, Mandalay
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University of Computer Studies, Meikhtila
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University of Computer Studies, Taungoo
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University of Dental Medicine Mandalay
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University of Dental Medicine, Yangon
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University of Information Technology
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University of Mandalay
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University of Medicine 1
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University of Medicine Mandalay
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Yangon University of Economics
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Yangon University of Education
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Yangon University of Foreign Languages
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Yezin Agricultural University
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New Index
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Item
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Postal Codes Recognition System for Myanmar Post Office using Neural Network Architecture
http://hdl.handle.net/20.500.12678/0000004186
http://hdl.handle.net/20.500.12678/0000004186a824eab3-fe99-40b7-90e0-4183d9501fdc
3d7a39e0-5581-4491-9ba7-3e1cd68daff4
Name / File | License | Actions |
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Postal Codes Recognition System for Myanmar Post Office using Neural Network Architecture | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Thu, Aye Aye | ||||||
Aye, Zin May | ||||||
Description | ||||||
Pattern recognition plays an important role in the modern world. It can solve more complex problems and makes human’s job easier. In this paper, we intend to develop a handwritten Postal Codes recognition system that can be employed in mail sorting for Myanmar Post Office. Postal Code consists of English characters and digits. This system can help humans to sort mails with Postal Codes that are difficult to identify. Two techniques applied in this system are Image processing and Artificial Neural Network (ANN). Image processing steps such as binarilization, cropping, resizing and thinning are used in this system. Multilayer feed forward neural network is used to adapt the weights that are needed to train the network using back propagation algorithm. Image processing is an important area for the application of ANN pattern recognition techniques. Simulation results are also included to show the accuracy of this system. | ||||||
Keywords | ||||||
ANN, Back-propagation algorithm, image processing, pattern recognition, Postal Code | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1881 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |