Object Detection and Recognition Using Deep Learning : Multinational and Multilingual License Plate Recognition using Convolutional Neural Network

Language: English

Published by Scholars' Press, 2020

6138945468 / 9786138945468

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Many real-life machine learning applications are increasingly guiding into focus on object detection and recognition. The traditional computer vision approaches do not achieve the needed accuracies. Deep learning-based approaches have achieved high accuracy levels raising the interest in such approaches in recent years. License plate detection and recognition have been extensively studied over the decades. However, more accurate and national/language-independent approaches are still in the focus of today's demand. In this book, we discuss an approach to detect and recognize multinational and multilingual license plates. The approach has four modules and each module is implemented using convolutional neural network architecture. The YOLOv2 detector with ResNet core network is utilized for license plate detection module. Faster R-CNN detector with a custom core network architecture is used for character segmentation module. Low complexity convolutional neural network architectures for license plate classification and character recognition modules are analyzed and studied. Each module is trained and tested separately and used to build end-to-end license plate recognition system.

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Title
Object Detection and Recognition Using Deep Learning : Multinational and Multilingual License Plate Recognition using Convolutional Neural Network
Author
Mohammed Salemdeeb
Publisher
Scholars' Press
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6138945468
ISBN 13
9786138945468
Item weight
197 grams
Dimensions
220x150x8 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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