Description: 这是我做毕业设计用的源程序，用matlab实现汽车牌照识别-This is my graduation project to do with the source, using matlab realize automobile license plate recognition Platform: |
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Author:杨晨 |
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Description: 优秀论文，汽车牌照识别系统中的牌照定位方法研究，内容很详细，对毕业设计有很大帮助。-Excellent papers, car license plate recognition system positioning method, the content is very detailed and very helpful on the graduation project. Platform: |
Size: 2204672 |
Author:林起 |
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Description: The strategy of the project is to design automatic system for opening a gate without
mounting any signal transmitter on the car. Thus, the project is to investigate and
construct an application whereby the system will recognize the Vehicle license plate at a
gate entrance of the parking lot. The system will be based on a personal computer and
software packages available, MATLAB program and a digital camera, which help to
capture the images of the vehicle license plate.
We will conduct a research and developed a system that is able to extract the vehicle
license plate. Next, we also need to create an algorithm to train and identify the vehicle
license plate for the purpose of recognition Platform: |
Size: 1140736 |
Author:Serhat |
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Description: 车牌识别matlab环境下实现的源代码，对于初学入门者有很很好的借鉴作用，也可直接应用到工程中，已通过测试。
-License plate recognition source code implemented in the Matlab environment, a very good reference for beginners beginner, can be applied directly to the project, has been tested. Platform: |
Size: 349184 |
Author:ruchen87 |
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Description: 本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章～第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章～第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章～第12章，是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盘给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。 本书讲解深入浅出，实例程序丰富，注重理论与实践相结合。本书可作为计算机应用、自动化、图像处理与模式识别、机电一体化专业的高年级本科生或研究生的参考书，也可供从事图像处理与识别的研究人员和工程技术人员阅读参考。-This book introduces the basic principles of image processing and recognition of the typical methods and practical skills . The book is divided into 12 chapters , Chapter 1- Chapter 6 is the basis of the content of image processing and recognition , including images scientific overview , MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7- Section Chapter 10 is a project example image processing and recognition , covering the medical image processing, character recognition and self- guided trolley path recognition example , the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers learn how to use MATLAB language fast simulation , debugging and estimation methods algorithm. Chapter 11- Chapter 12 , are two examples of highly integrated , namely Visual C++ implementation based on neural network character recognition system and a license plate positioning system. The book Platform: |
Size: 6598656 |
Author:朱朴宁 |
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