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Handwriting Recognition

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dc.contributor.author Hasan, Md. Asif
dc.date.accessioned 2019-07-04T09:47:23Z
dc.date.available 2019-07-04T09:47:23Z
dc.date.issued 2018-11-24
dc.identifier.uri http://hdl.handle.net/123456789/2697
dc.description.abstract Bangla Hand Writing Recognition System is a system that can recognize the bangla handwriting. In this project I am working with the dataset that I collect personally from different place in Bangladesh. This dataset contains approximately 700 students handwriting sample. In this dataset I collect 44 simple alphabets and 109 compound alphabets. Main purpose of this project is to make a system that can recognize the bangla handwriting and with the help of this we can change the data collection system of this country. This system can be use in the Bangladesh Land Office to make all previous records digital. I used python OpenCV library to prepare this dataset and use Convolutional Neural Network model to recognize the handwriting en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.relation.ispartofseries ;P12210
dc.subject Computer Science en_US
dc.subject Neural Network en_US
dc.title Handwriting Recognition en_US
dc.type Other en_US


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