Handwriting Recognition

dc.contributor.authorHasan, Md. Asif
dc.date.accessioned2019-07-04T09:47:23Z
dc.date.available2019-07-04T09:47:23Z
dc.date.issued2018-11-24
dc.description.abstractBangla 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
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/2697
dc.identifier.urihttp://hdl.handle.net/123456789/2697
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectComputer Science
dc.subjectNeural Network
dc.titleHandwriting Recognition
dc.typeOther

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