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Mobile based Text Image Recognition using Deep Learning Approach

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dc.contributor.author Maung, Saw Zay Maung
dc.contributor.author Aye, Nyein
dc.date.accessioned 2019-07-23T05:55:11Z
dc.date.available 2019-07-23T05:55:11Z
dc.date.issued 2019-02-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1232
dc.description.abstract Recognizing text image from mobile phone is a challenge task for limited capacity and processing power. And also the accuracy of the system is important for text image recognition system. In this system, we aimed to develop a Text Image Recognition System for mobile environment using Myanmar Character Dataset. Firstly, the image captured from mobile phone’s camera and then segment each connected character using Connected Labeling Algorithm. After that the segmented characters input into the Convolutional Neural Network by passing layer by layer to get feature maps for recognizing the words in a given text image. en_US
dc.language.iso en en_US
dc.publisher Seventeenth International Conference on Computer Applications(ICCA 2019) en_US
dc.subject Connected Labeling Algorithm en_US
dc.subject Convolutional Neural Network en_US
dc.title Mobile based Text Image Recognition using Deep Learning Approach en_US
dc.type Article en_US


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