Car license plate

The research of car license plate location methods based on image processing

基于图像处理的车牌定位方法的研究

A New Car License Plate Recognition System and its Imaging Techniques

新的汽车牌照识别系统及其成像技术

A Fast Recognition Method Of Car License Plate Under Complex conditions

基于复杂背景的车牌字符快速识别方法

Infrared Image Car License Plate Location Method Based on Apriori Knowledge

基于先验知识的红外图像汽车牌照定位方法

A new image enhancement algorithm for car license plate recognition

一种新的汽车牌照识别的图像增强算法

New location algorithm of car license plate using cross-correlation vector map

基于互相关矢量图的车牌定位新算法

Study of Car License Plate Location Based on MATLAB

基于MALAB的车牌定位算法研究

Application of Embedded Car License Plate Recognition System in Enterprise Entrance Guard Management

嵌入式汽车牌照识别系统在企业门禁管理中的应用

Approach of Car License Plate Extraction Based on Math Morphology

基于数学形态学的汽车牌照提取算法

A high performance car license plate recognition system and its imaging techniques have been introduced .

介绍了一种高性能的汽车牌照识别系统及其成像技术。

Image Segmentation of Car License Plate Using Morphologic Features

利用形态特征的汽车车牌图像分割方法

Section Thinking Applied in Car License Plate Approximate Location

分块思想在汽车牌照粗定位中的应用

Technique of Automatic Orientation of Car License Plate Targets Study on License Plate Segmentation

车牌目标的自动定位技术汽车牌照定位技术研究

An automatic car license plate locating algorithm using ELMAN neural network is presented .

提出了一种基于ELMAN神经网络的汽车牌照自动定位算法。

Researches on Automatic Location of Car License Plate

汽车牌照自动定位算法研究

A Poly - hiberarchy Method of Car License Plate Location

一种汽车牌照多层次分割定位方法

In this paper we proposed a new method for car license plate location by combining morphology and multiple features .

在车牌定位（车牌检测）阶段，本文提出了基于数学形态学与多特征组合分析相结合的快速汽车车牌定位方法。

Study problems of Binary-Conversion for stained Car License plate and its solving scheme .

研究了对受污损车牌进行二值化存在的问题和解决方案。

Later , details about the algorithm of car license plate location based car characters connectivity proposed in this paper is discussed .

接着，详细描述了本文提出的基于字符连通性的车牌定位算法，并对其性能进行了分析。

Car License Plate Recognition ( LPR ) system has a broad application to the transportation management and the public security supervision .

汽车牌照识别系统（licenseplaterecognition，LPR）在交通管理、治安检查中有着广阔的应用前景。

Study on a new method of fast car license plate location in image with very complicated background and bad shooting con-dition .

研究了从背景极为复杂、拍摄环境较差的图像中定位汽车牌照的方法。

The paper introduces the composition , operational principle ; system specialties and application effectiveness of the embedded car license plate recognition system used in enterprise entrance guard management .

介绍了企业门禁管理中嵌入式汽车牌照识别系统的组成、工作原理、系统特点及应用效果。

To improve the recognition accuracy of the characters on car license plate , a novel method based on support vector machine ( SVM ) and wavelet decomposition was proposed .

为了提高车牌上的字符识别准确率，提出一种结合支撑矢量机（SVM）和小波的字符识别方法。

By Cooperating With luminance & chroma binary-conversion , preferably actualize segmentation for stained car license plate .

将灰度二值化和色度二值化有机地结合，较好地实现了受污损车牌的分割。

A kind of automated toll charging system based on computer vision is introduced . The system consists of sensor , image sampling device , car license plate recognition and toll charging software .

给出了一种基于计算机视觉的汽车收费系统，该系统由传感装置、图像采集系统和计算机车牌识别和收费管理系统组成。

The issue of car license plate recognition is a focus direction of studying both at home and abroad at present , its success has important application values in vehicle controlling , transportation management , parking and so-so .

车牌识别问题是当前国内外研究的一个热点方向，它的研究成功对车辆控制、运输安排等有着重要的应用价值。

Car license plate recognition ( License Plate Recognition , LPR ) technology is a comprehensive application of computer technology and digital image processing technology in the intelligent traffic management system , is a key link in the intelligent traffic management .

汽车车牌识别（licenseplaterecognition，LPR）技术是计算机技术和数字图像处理技术在智能交通管理系统中的综合应用，是实现智能交通管理的关键环节。

First it outlines the development situation of car license plate location algorithm and research about car tail lamp area extraction methods in this paper . Then basic digital image processing theories used frequently in car license plate area extraction is presented .

本文首先概述了车牌定位算法和车尾灯定位的发展情况，然后简要的分析了车牌定位常用的数字图像处理方面的一些主要理论和方法。

Segmentation of license plate region is a key procedure in a car license plate recognition system , enhancing the plate region of the captured image and suppressing the background area can effectively reduce the difficulty of the plate segmentation task .

汽车牌照区域分割是牌照识别的关键步骤，增强图像中的牌照区域，抑制背景区域，可以有效降低牌照区域分割的难度。

In the intelligent recognition system of car license plate , car image can be separated from complex car background image by preliminary separation of car image , but in these threshold images , the complex gray image elements are translated into some white noise .

在智能车牌识别系统中，经过汽车图像的初分割，可从复杂的汽车及背景图像中分割出汽车图像，但复杂灰度图像经二值化处理后存在许多干扰白点。