Bangla license plate recognition using convolutional neural networks (CNN)

This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.Cataloged from PDF version of thesis report.Includes bibliographical references (pages 33-37).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.M M Shaifur RahmanB. Computer Science and Engineering