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dc.contributor.advisorMostakim, Moin
dc.contributor.authorRahman, M M Shaifur
dc.date.accessioned2018-02-19T05:02:18Z
dc.date.available2018-02-19T05:02:18Z
dc.date.copyright2017
dc.date.issued12/24/2017
dc.identifier.otherID 13301052
dc.identifier.urihttp://hdl.handle.net/10361/9507
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (pages 33-37).
dc.descriptionThis thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.description.abstractIn the last few years, the deep learning technique in particular Convolutional Neural Networks (CNNs) are using massively in the field of computer vision and machine learning. This deep learning technique provides state-of-the-art accuracy in different classification task on different benchmarks such as MNIST, CIFAR-10, CIFAR-100, ImageNet [1, 2]. However, there are a lot of research has been conducted for Bangla License plate recognition in last decade. None of them are used to deploy a physical system for Bangla license plate recognition system because of their poor recognition accuracy. In this thesis, we would like implement CNNs based Bangla license plate recognition system with better accuracy that can be used for different purposes like: roadside assistance, automatic parking lot management system and so on.en_US
dc.description.statementofresponsibilityM M Shaifur Rahman
dc.format.extent38 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectBangla license plateen_US
dc.subjectLicense plate recognitionen_US
dc.subjectConvolutional neural networksen_US
dc.subjectNeural networken_US
dc.titleBangla license plate recognition using convolutional neural networks (CNN)en_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering  


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