Bangla license plate recognition using convolutional neural networks (CNN)

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.issued12/24/2017
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.
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.
dc.identifier.otherID 13301052
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/18c9fc9d-5906-484f-97b1-17e8cd55ddaa
dc.identifier.urihttp://hdl.handle.net/10361/9507
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectBangla license plate
dc.subjectLicense plate recognition
dc.subjectConvolutional neural networks
dc.subjectNeural network
dc.titleBangla license plate recognition using convolutional neural networks (CNN)
dc.typeThesis

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