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matlab_chepaishibie
- 国外的车牌识别算法，包括灰度、二值化、倾斜矫正、定位、字符分割、字符识别-Foreign license plate recognition algorithms, including grayscale, binary, tilt correction, positioning, character segmentation, character recognition, etc.
MATLABzifushibei
- 基于MATLAB的车牌识别的设计算法，实现的有车牌定位，车牌字符分割和识别等算法。- In this thesis，the main contents include: First, copes with positioning process of the captured vehicle license plate and then preprocess the positioned license plate Second, based on comparison of gray l
Vehicle-license-recognition
- 车牌识别最基本的流程是：将采集后的图像二值化，然后依次经过车牌定位、字符分割、去除干扰，最后是字符识别-License Plate Recognition basic process is: after the acquisition of image binarization, followed through the license plate location, character segmentation, remove interference, and finally charact
main
- 自己写的C++图像处理代码，实现了灰度值转换，二值化，canny边缘检测，Hough运算，投影法进行字符分割。-Write your own C++ image processing code, to achieve a gray value conversion, binary, canny edge detection, Hough computing, projection method for character segmentation.
2005510101315809
- 提出了一种复杂背景下的多车牌图像分割和识别方法，首先采用统计和特征匹配相结合的方法进行背景提取，将可能存在车辆的区域提取出来；然后分别对可能的车辆区域进行局部边缘检测，并使用车牌的先验知识确定车牌的位置和单个字符分割，包括车牌倾斜时的字符分割；最后使用PCA和神经网络相结合的方法精确识别车牌。-Proposed a multi-plate image segmentation and recognition method under a complex background, the first
erzhituxiangzifufenge
- 实现二值图像字符分割,用于身份证号码定位识别过程中号码体的字符分割-To implement binary image character segmentation, is used in the process of the id number positioning number body character segmentation
recongnize
- 车牌定位系统代码。车牌自动识别是计算机视觉、图像处理与模式识别技术在智能交通领域应用的一项重要研究课题，是实现交通管理智能化的关键环节。而车牌定位则是车牌自动识别系统的关键技术之一，也是其难点之一。车牌定位系统对车牌识别系统来说至关重要，其定位准确度在很大程度上影响着以后的字符分割和识别结果。因此，汽车图像中牌照的正确定位是车牌识别技术中的关键所在。目前，主要通过两条技术路线进行车牌定位的研究。早期，由于受到计算机运算速度和内存大小的影响，考虑到实时性，车牌定位主要是基于灰度图像处理技术。近年来
License-Plate-Recognition-System
- 完整的车牌识别系统，包括车牌图像预处理技术、定位技术、字符分割技术、字符识别技术。车牌识别系统编程实现，包含源码和可执行程序。-Complete license plate recognition system, including the license plate image preprocessing techniques, positioning technology, character segmentation, character recognition technology. L
chepaipic
- VC++.NET车牌识别、字符分割与归一化处理，图像对象BMP格式，程序将读取车牌的图像信息，归一化图像大小，动态分配存储图片的像素信息的二维数组，找到图像各列，从左列开始,垂直扫描，实施图片局部分割等，有兴趣编写车牌号识别的可参考对比下。 编辑注：本源码不能在Win32环境下运行。-VC++. NET license plate recognition, character segmentation and normalization, image objects BMP forma
matlabcarcard
- 车牌字符分割算法,可以识别并且分割出车牌的号码和字符-to determine and identify the car number
character-segmentation
- 汽车牌照识别系统中，车牌字符分割算法实现-Car license plate recognition systems, license plate character segmentation algorithm
ym
- 车牌自动识别系统主要分为图像预处理、车牌定位、字符分割和字符识别等主要模块, 针对不同的模块,本文研究分析了现有的理论算法,并提出了具有实际应用意义的解决方案。-Automatic license plate recognition system consists of image pre-processing, license plate location, character segmentation and character recognition and other major mod
Untitled7
- 车牌定位，校正，字符分割，识别程序，matlab-matlab ,lPR dingwei jiaozheng fenge shibie
cpsb
- 用易语言做的车牌识别的完整源代码,包括车牌定位,二值化,滤波去噪,字符分割,识别-Automatic license plate recognition, the method is worth learning
TestSplitString
- 这是一个测试程序，主要是写的一个函数实现的是用一个字符分割字符串。-this is a test Application, a function written by myself which is to split the string by a char.
chepailpr
- 对车牌信息的分析，二值，区域定位，字符分割，字符切割模块的程序-License plate information for the analysis of binary, regional location, character segmentation, character segmentation module program
CarNumberRecognition
- 本算法主要分成这几个部分，图像输入、图像预处理、去噪、车牌字符分割和字符识别。-The algorithm is divided into several parts, image input, image preprocessing, de-noising, license plate character segmentation and character recognition.
PlateIdentify
- 车牌字符识别C++程序 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-C++ program license plate character recognition 1. Open a picture first and then follow the order of graying, binarizati
lpr-system
- 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-1. Open a picture first and then according to the order gray, binarization, gray stretching, license plate localization, binarization, t
CharacterSegment
- 车牌字符分割Matlab程序，可以实现车牌的字符分割-License plate character segmentation Matlab program, you can achieve the license plate character segmentation