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Description: 车牌号码的自动检测先进行图像的预处理，在对预处理后的图像做边缘检测，根据车牌像素的大小进行车牌分割最后将分割的车牌保存在一个文件当中-Automatic detection of the vehicle registration number, preceded by image preprocessing, in the image pre-processing to do edge detection, in accordance with license plate license plate pixel size of the final partition will be partition number plates stored in a file which
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Size: 52224 |
Author: joan |
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Description: ALGORITHMIC AND MATHEMATICAL
PRINCIPLES OF AUTOMATIC NUMBER PLATE
RECOGNITION SYSTEMS
B.SC.
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Size: 2325504 |
Author: legend22 |
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Description: Using image processing techniques to solve a specific problem, which will be the creation of an automatic plate recognition system that can be installed at the entrance of a parking
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Size: 360448 |
Author: casi |
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Description: 车牌定位功能函数，可以实现车牌的自动定位-License plate location features a function that enables the automatic license plate location
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Size: 1497088 |
Author: snoopy |
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Description: Automatic license plate recognition
(LPR) is one of the techniques that can be used
for the identification of vehicles. The purpose of
this paper is to investigate a suitable way to
recognize the registration plate from an image of
vehicle,
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Size: 327680 |
Author: shokri |
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Description: 摘要
车辆牌照识别(License Plate Recognition System, LPR)作为目标自动识别的一
种重要形式，可用于电子收费、出入控制、车流监控等众多场合，从而提高交通
管理自动化的程度，它的相关技术的研究正逐渐受到人们的重视。
本文主要介绍基于Run Length原理和Tamura纹理的车牌定位系统，该系统是基
于视频流进行开发的，主要包括车辆运动区域检测、车牌图像处理、车牌定位。
其中车辆运动区域检测利用多帧求平均的背景估计方法实现；车牌图像处理包括
灰度变换、中值滤波、边缘检测和二值化；车牌定位包括车牌水平定位、车牌垂
直定位、颜色判断和细定位。
该定位系统是在C++Builder环境下实现的，针对不同大小车牌、不同光照条件
的1400张图片进行测试，其定位率可以达到92 以上；同时也将该算法封装成DLL
库，应用在雷达测试仪中，对各种光照条件下的视频流进行测试。测试结果证明
本文算法简单、快速、准确率高，满足车牌识别系统实时性、通用性、和准确性
的要求，具有一定的应用价值。
关键词：车牌定位Run Length Tamura纹理-Abstract
As an important application form of target automatic recognition, vehicle license
plate recognition( LPR) technology is used in some fields, such as electron charging,
pass controlling and automobile stream supervising etc.
The paper introduces license plate location system based on the principle of Run
Length and Tamura texture feature. The system is developed based on video streams,
mainly includes vehicle motion region detection, license plate image processing, vehicle
license plate location. The detection of vehicle motion region uses the background
estimation methods based on the average of multi-frame license plate image processing
includes gray-scale transformation, median filtering, edge detection and binarization
the license plate location includes license plate horizontal location, license plate vertical
position, color judgments and accurate location.
The system is achieved in the C++ Builder environment, and it uses 1400 images
that are of different
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Size: 2509824 |
Author: 王述 |
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Description: In this thesis, a new algorithm for automatic vehicle identification has been
proposed. Identification is made by license plate recognition (LPR) algorithm.
License plate recognition is a form of automatic vehicle identification and is an
algorithm that identifies the vehicle by recognizing the license plate automatically. In
this study, a simple but effective algorithm is presented for vehicle’s license plate
recognition system.
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Size: 716800 |
Author: Serhat |
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Description: 图像自动识别系统是现代社会智能交通系统的重要组成部分, 是图像处理和模式识别技术研究的热点, 应用也越来越普遍。一个完整的跳绳图像识别系统一般包括图像预处理，跳绳计分器定位、字符分割、字符识别四大模块。
跳绳计分器字符的识别是汽跳绳计分器照识别的重要组成部分，识别的准确性直接影响跳绳计分器图像识别的效果。因此，本课题将研究如何改进跳绳计分器字符识别的算法，从而提高其识别的速度和准确率。
- Automatic License Plate Recognition (LPR) systems is an important component of the intelligent transportation systemsin modern society. It is the research hotspot of image processing and pattern recognition，and it is widely applied.This process was divided into pre-process,, vehicle license location, character division and character recognition.
Character recognition is an important component of License plate license plate ,and Recognition accuracy directly affects the effect of license plate recognition.Therefore, This topic will examine how to improve the license plate recognition algorithm to recognize the license for the high recognition rate and the quick recognition speed.
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Size: 3569664 |
Author: 小王 |
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