Bangla license plate recognition using convolutional neural networks (CNN)
Date
12/24/2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
BRAC University
Abstract
In 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.
Description
Cataloged from PDF version of thesis report.
Includes bibliographical references (pages 33-37).
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
Includes bibliographical references (pages 33-37).
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
Keywords
Bangla license plate, License plate recognition, Convolutional neural networks, Neural network
