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[Graph Recognize] car(c) DL : 0: 车牌识别系统c++源代码，VS 2005开发,包括灰度处理、均衡化、边缘提取、二值化等功能-c license plate recognition system source code, VS 2005 developers, including Gray, balance, edge extraction, Binary function
Date : 2025-12-17 Size : 3.53mb User : 楚天
[Graph Recognize] PlateReco DL : 0: 用于汽车牌照的定位与识别，本系统数据库平台采用windows2000,加上MS SQL Server2000,应用程序平台完全采用VC++开发，运用了动态链接库技术，数据库技术，图象处理技术和网络通信技术。本系统的实现步骤: 1.收费单元. 2.牌照识别单元,流程如下:车辆图象采集，牌照区域提取，牌照字符切分，牌照字符识别。 3.数据通信单元.-Used car license, location and recognition, the system database platform windows2000, together with MS SQL Server2000, application platform completely VC++ Development, the use of a dynamic link library technology, database technology, image processing technology and network communications technology. The system to achieve these steps: 1. Charging unit .2. License plate recognition unit, flow is as follows: the vehicle image acquisition, license regional extraction, character segmentation of license, license character recognition. 3. Data communications unit.
Date : 2025-12-17 Size : 277kb User : 新建
[Graph Recognize] Ocrtest DL : 0: 将BP神经网络应用于汽车车牌的自动识别，提出了一种简单实用的方法，具有很好的应用价值-BP neural network will be used in automatic recognition of car license plate, a simple and practical method has good application value
Date : 2025-12-17 Size : 1.09mb User : 孙尧
[Graph Recognize] paizhaozidongshibie DL : 1: 图像分割是图像处理最基本和最重要的技术，是任何理解系统和自动识别系统必不可少的一个重要环节.车牌以及车牌字符的提取是图像分割技术的一个特殊应用场合，它包括车牌的定位和车牌字符的切分两个步骤。本章将对这两个步骤的算法进行阐述.第一、二节中将分别详细介绍车牌区域的定位、切分技术由于二值化算法在字符的提取中具有重要的作用，因此在第三节中将作重点讨论. -Image processing image segmentation is the most fundamental and important technology, is any understanding of systems and automatic identification system essential for an important part. License plate and license plate character extraction image segmentation technique is a special application, which includes car license plate location and character segmentation in two steps. These two steps in this chapter will elaborate algorithm. First, the two plates will introduce a detailed regional positioning, segmentation techniques as a result of binarization algorithm in the extraction of characters play an important role, so in Section III will be focused on.
Date : 2025-12-17 Size : 5.99mb User : poon
[Graph Recognize] car DL : 0: 车牌识别程序。能够很好的解决车牌中数字的定位和自动识别-License plate recognition program. Good solution to the number of plates in the positioning and automatic identification
Date : 2025-12-17 Size : 932kb User : qlhycf
[Graph Recognize] binary+chars24X48 DL : 0: 汽车车牌识别中，字符识别是用的字符和数字模板，binary+chars24X48，大小是24*48-Car license plate recognition, character recognition is used and the number of template characters, binary+ Chars24X48, size is 24* 48
Date : 2025-12-17 Size : 150kb User : dengxin
[Graph Recognize] cepai DL : 0: 车牌照识别的源代码，vc++工具完成，可以运行，放心下载。-Car license plate recognition source code, vc++ Tools to complete, you can run, rest assured that download.
Date : 2025-12-17 Size : 3.95mb User : kaobodj
[Graph Recognize] PRR2 DL : 0: 这是利用VC++6.0开发的汽车车牌识别系统，其基本原理是采用了基于车牌颜色对的最新的车牌识别技术。-This is the use of VC++ 6.0 developed car license plate recognition system, and its basic principle is the use of license plate based on the latest color of license plate recognition technology.
Date : 2025-12-17 Size : 561kb User : wangtong
[Graph Recognize] recognition DL : 0: 车牌子识别，里面有完成的程序运行所需要的图片以相关数据。-Car brand recognition, there are to complete the procedures needed to run the picture to the relevant data.
Date : 2025-12-17 Size : 194kb User : flora
[Graph Recognize] car-number-plate-recognization DL : 0: 该程序是基于颜色的车牌位置定位程序，能将车牌识别出来-this source code is used for car number plate recognization, which is based on the color indentify.
Date : 2025-12-17 Size : 109kb User : tangqinqin
[Graph Recognize] PCNN-car DL : 0: 脉冲耦合神经网络在车牌识别中的应用,这是在车牌领域中的较新的技术-Pulse-Coupled Neural Networks in the application of license plate recognition, license plate at This is relatively new in the field of technical
Date : 2025-12-17 Size : 169kb User : lily
[Graph Recognize] smartcar9 DL : 0: 飞思卡尔智能车大赛另一个智能车调试系统供大家测试大家一起进步-Freescale another contest smart car smart car for your test debugging system and progress together
Date : 2025-12-17 Size : 307kb User : 王文鹏
[Graph Recognize] shibie DL : 0: 基于bp神经网络的车牌识别系统神经网络部分训练有待提高-The design of intelligent transportation systems for applications such as electronic toll,traffic flow analysis,speed Limit and red light violation enforcement has been attracted an increasing attention from researchers.In particular,the recognition of characters in car license plates is object of different studies nowadays
Date : 2025-12-17 Size : 3kb User : maliguo
[Graph Recognize] Reconizechepai DL : 0: 这是一个车牌是识别的程序,我用Vc中的MFC开发的,当输入一个车的照片时,该程序能够将车牌标识出来 -This is a license plate is to identify the procedure, I used Vc development in MFC, when the importation of a car photo, the program can be out of license plate logo
Date : 2025-12-17 Size : 290kb User : 王宁
[Graph Recognize] recognitionprogramofcarplatewhichisusingmatlab DL : 0: 用matlab编写的车牌识别程序，是学习车牌识别的很好的资料-this is the recognition program of car plate which is using matlab,and it is very useful for you if you want to learn it!
Date : 2025-12-17 Size : 347kb User : Carl
[Graph Recognize] lpr_position DL : 0: its a c program to describe the operation of car detection
Date : 2025-12-17 Size : 42kb User : anupama
[Graph Recognize] perfect DL : 0: car plate recognition
Date : 2025-12-17 Size : 2.07mb User : kamran
[Graph Recognize] motion_or_car_detect DL : 0: 本程序是使用OPENCV对运动物体进行检测，内中包含一段运动车量视频，代码经过调试正确-This procedure is used to detect moving objects OPENCV on, in the amount contained in a sports car video, the correct code after debugging
Date : 2025-12-17 Size : 4.01mb User : chennaruto
[Graph Recognize] car-plate-segmentation-recognation DL : 0: 一种车牌字符分割识别方法是一篇中文论文-car plate segmentation and recognition method and algorithm
Date : 2025-12-17 Size : 207kb User : xhzhang56
[Graph Recognize] car DL : 0: 车牌自动识别的程序，只能定位车牌，截取车牌，正确率80 。-Automatic license plate recognition program, can only target plate, the interception of license plate, the correct rate of 80 .
Date : 2025-12-17 Size : 1.17mb User : lili

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