Automatic License Plate Detection and Recognition / 刘艳 陈松路著

定价：99.00元

出版时间：2025-01-31

ISBN ：978-7-5240-0084-6

内容提要

本书共包括10章。第1章介绍了本书的写作背景和意义，并简要概述写作框架。第2章至第5章重点介绍车牌检测方法，解决通过车牌关系挖掘检测小车牌和多方向车牌等挑战。第6章至第8章主要介绍车牌识别方法，讨论与快速识别、多类型车牌识别以及低资源识别相关的问题。第9章至第10章主要介绍端到端的车牌检测和识别方法，重点是将检测和识别集成到一个统一的网络中，以获得更有效和高效的结果。 本书的读者对象主要是从事智能交通系统、计算机视觉、光学字符识别和相关领域工作的研究人员和工程师，也可供大专院校自动化专业的师生阅读参考。

目录

1. Introduction 

1.1 Motivation 

1.2 Outline of the book 

2. Simultaneous End-to-End Vehicle and License Plate Detection with Multi-Branch Attention Neural Network 

2.1 Problem Formulation 

2.2 Problem Formulation 

2.3 Experiments 

3. Simultaneous End-to-End Vehicle and License Plate Detection with Multi-Branch Attention Neural Network

3.1 Problem Formulation 

3.2 Methodology

3.3 Experiments 

4. Improving Small License Plate Detection with Bidirectional Vehicle-plate Relation 

4.1 Problem Formulation 

4.2 Methodology

4.3 Experiments 

5. Vertex Adjustment Loss for Multidirectional License Plate Detection and Recognition 

5.1 Problem Formulation 

5.2 Methodology 

5.3 Experiments  

6. Fast Recognition for Multidirectional and Multi-type License Plates with 2D Spatial Attention 

6.1 Problem Formulation 

6.2 Methodology 

6.3 Experiments 

7. Improving Multi-type License Plate Recognition via Learning Globally and Contrastively 

7.1 Problem Formulation 

7.2 Methodology

7.3 Experiments 

8. Towards Low-resource License Plate Recognition via Feature Shuffling 

8.1 Problem Formulation 

8.2 Methodology 

8.3 Experiments 

9. End-to-End Multi-line License Plate Recognition with Cascaded Perception 

9.1 Problem Formulation 

9.2 Methodology 

9.3 Experiments  

9.4 Cross-Dataset Experiments 

10. Multi-task Learning for License Plate Recognition in Unconstrained Scenarios 

10.1 Problem Formulation 

10.2 Methodology 

10.3 Experiments