搜索资源列表
cbsb
- 一些开发车牌识别的资料,很有用,1。车牌识别中的二值化及快速倾斜校正算法2。车牌字符识别算法毕业设计3。基于HSI空间的车牌字符分割4。汽车牌照实时几何畸变校正方法5。一种实用快速的车牌字符分割方法-Some developed license plate recognition data, very useful, 1. License Plate Recognition binarization and fast skew correction algorithm 2. Graduation
zx_pr_exp_6
- 选择合适的方法对车牌进行预处理,车牌定位,字符分割; 设计神经网络结构,利用神经网络训练字符,实现字符识别; 设计Matlab或者VC++程序编程实现完整的车牌识别系统。 -recognition of the car bland
work
- 本文的处理手段是对输入的汽车图像进行预处理,运用车牌定位,字符分割,字符识别的方法提取车牌上的数字字符串,并以文本的形式输出。-This treatment method is to enter the vehicle image preprocessing, the use of license plate location, character segmentation, character recognition to extract license plate numbers on th
Autoplatecharactersegmentationofanewmethod
- 一种汽车牌照字符分割的新方法,车牌字符分割在车牌识别中起到很重要的作用。-license plate character segmentation in license plate recognition plays an important role in
matlab-chap8
- 包括索书号文字图像分割,粘连字符切分,文字识别,彩色车牌分割,商标文字分割,文字识别的识别子函数,文字识别的结构特征提取子函数-Including the Call text, image segmentation, adhesion character segmentation, character recognition, color plate division, trademarks, text segmentation, character recognition subroutine
lpr
- 车牌提取以及车牌字符的分割,其中车牌提取用的是投影及数学形态学的-License plate license plate character extraction and segmentation, which is used to extract license plate projection and mathematical morphology Hair
车牌识别GUI.zip等多个文件
- matlab 车牌识别,含有gui界面,边缘检测车牌定位,神经网络字符识别(Matlab license plate recognition, including GUI interface, edge detection, license plate location, neural network, character recognition)
LPR
- 提供一种最基础的车牌识别程序,需进行以下几个基本的步骤:车牌图像预处理;车牌定位,定位图片中的车牌位置;车牌字符分割,把车牌中的字符分割出来;车牌字符识别,把分割好的字符进行识别,最终组成车牌号码。(To provide a basic license plate recognition program, the following basic steps need to be carried out: image preprocessing of license plate; Location
基于MATLAB的车牌识别程序
- 汽车牌照识别的MATLAB程序,车牌定位,字符分割,字符识别,结果输出(Vehicle License Plate Character Recognition)
字符模板
- 里面含有各种车牌上的数字、字母、汉字,适用于车牌识别训练(Contains digital, alphabet, Chinese characters, used for license plate recognition training)
车牌识别
- 车牌识别处理过程,主要包括预处理、边缘提取、车牌定位、字符分割、字符识别五大模块(The process of license plate recognition mainly consists of five modules: preprocessing, edge extraction, license plate location, character segmentation and character recognition)
车牌识别
- 运用labview视觉助手,通过训练,生成字符库来识别车牌信息(Identification of license plate information)
训练车牌库
- Haclon的源代码,车牌识别Demo,可自行训练字符库(License plate recognition, self-training character library)
车牌识别
- 可实现MATLAB环境下的车牌识别系统源程序,运用模板匹配法进行字符识别。(The source program of license plate recognition system under MATLAB environment can be realized, and the character recognition can be carried out by template matching method.)
14_车牌识别系统
- 1.首先单击载入图像菜单项(载入车辆图像),图像在images文件夹下面。 2.然后单击车牌定位与识别单项,依次进行车牌提取、倾斜校正、字符分割、字符识别。 注:本程序使用的是OpenCV2.1版本(First click the load image menu item(load the vehicle image), which is under the images folder. 2. The license plate extraction, tilt correction, c
matlab车牌识别完整程序
- 对图像中的车牌进行车牌区域提取、字符分割、自动识别(The area extraction, character segmentation and automatic recognition of the license plate in the image)
452874车牌识别定位vc版
- 能识别车牌,剪切,并识别图中的字符,需要使用opencv的库(It can identify the license plate, cut and identify the characters in the map.)
zhifang
- 用直方图均衡化方法对雾霾天气的车牌图像进行增强,经过预处理后定位车牌位置,分割车牌字符(Histogram equalization method is used to enhance the license plate image in haze weather. After pre-processing, the license plate position is located and the license plate character is segmented.)
车牌汉字样本
- 车牌识别中汉字训练样本,包含31个省份,每个字符几十到几百个样本。(License plate recognition Chinese character training samples, including 31 provinces, each character tens to hundreds of samples.)
233
- 车牌自动识别系统也是智能交通系统的重要组成部分。它能将输入的汽车图像通过车牌定位、车牌字符分割和车牌字符识别等一系列步骤,输出为几个字节大小的车牌字符串,无论在存储空间占用上还是在于管理数据库相连等方面都有着无可比拟的优越性。在大型停车场、高速公路、交通部门的违章检测以及桥梁的收费站管理等场合,都有着广泛的应用前景。车牌识别系统的成功开发将大大加速智能交通系统的发展进程。(The license plate recognition system is also an important part