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  1. University of Computer Studies, Yangon
  2. Conferences

Mobile based Text Image Recognition using Deep Learning Approach

https://meral.edu.mm/records/3487
https://meral.edu.mm/records/3487
5486eeca-78cc-4774-a5bd-ca3c829d4dc1
0586d018-1356-42cd-a1b7-490b9be6d0d3
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ICCA ICCA 2019 Proceedings Book-pages-335-339.pdf (699 Kb)
Publication type
Article
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Publication
Title
Title Mobile based Text Image Recognition using Deep Learning Approach
Language en
Publication date 2019-02-27
Authors
Maung, Saw Zay Maung
Aye, Nyein
Description
Recognizing text image from mobile phone is achallenge task for limited capacity and processingpower. And also the accuracy of the system isimportant for text image recognition system. In thissystem, we aimed to develop a Text Image RecognitionSystem for mobile environment using MyanmarCharacter Dataset. Firstly, the image captured frommobile phone’s camera and then segment eachconnected character using Connected LabelingAlgorithm. After that the segmented characters inputinto the Convolutional Neural Network by passinglayer by layer to get feature maps for recognizing thewords in a given text image.
Keywords
Connected Labeling Algorithm, Convolutional Neural Network
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1232
Journal articles
Seventeenth International Conference on Computer Applications(ICCA 2019)
Conference papers
Books/reports/chapters
Thesis/dissertations
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