搜索资源列表
java
- 关于bp神经网络的车牌识别的算法，以及车牌定位-License plate recognition algorithm on bp neural network, as well as the license plate location
chengxu22
- matlab实现的关于车牌定位的算法，能有效定位车牌区域。-Matlab on license plate location algorithm, can effectively position of the license plate area.
opencvhaarchepaidingwei
- 利用opencv，采用Adaboost算法训练分类器，将训练好的分类器用于车牌定位。-Using opencv, Adaboost algorithm training classifiers, trained classifier for license plate location.
platelocate
- 一个很好的车牌定位实例，通过经过灰度化、二值化、降噪、中值滤波、水平投影和垂直投影算法，实现了车牌的准确定位。-A good example of plate positioning, by passing through the graying, binarization, noise reduction, median filtering, horizontal and vertical projections algorithm to achieve the exact location
LicensePlateRecognition
- 图像中汽车牌照定位的准确与否,直接关系到自动车牌识别系统的整体性能.考虑由于时间和气候光照特性不同造成车牌图片清晰度的明显差异,提出一种新的自适应动态阈值车牌定位的算法.该方法首先分析图像的清晰度,将图像的白点数固定在一个与差分均值成正比的比例值内.然后,去除离散噪声.针对车牌区域的行和列有不同的特征,用不同的方法进行车牌横向和纵向区域的精确定位,最终找到目标车牌区域.实验显示,该方法对车牌定位的准确率达到98.7 -Image vehicle license positioning accur
License_Plate_Segmentation
- 关于车牌定位的代码，采用了开闭算法和投影算法-License_Plate_Segmentation code ,include kaibi algothrim and projection
car-plate-location
- 采用聚类算法,图像分割，边缘提取，实现车牌定位-License plate location using clustering algorithm
Visual-C-MATLAB-image-processing
- 本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章～第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章～第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章～第12章，是两个综合性较强的实例，分别是Visual
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.
LPR
- 车牌定位与识别的最新算法源代码,采用Visual C++语言-License plate location and recognition algorithm of the latest source code, using Visual C++ Through February to complete-License plate location and recognition algorithm of the latest source code, using Visual C++
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
matlab
- MATLAB程序用于实现车牌定位,包括了3种算法在里面，欢迎大家试用-MATLAB program for the realization of license plate location, including the 3 kinds of algorithms in it, welcome to the trial
chepaidingweisuanfa
- 里面包含车牌定位的各种算法资料 原理，对初学者比较有帮助，静下心来看吧-Various algorithms principle which contains license plate location, more help for beginners, the static under heart to see.
chepaihanzishibiexitong
- 车牌识别是我国实现智能交通的重要课题，车牌汉字识别是实现车牌识别的难点。进行车牌汉字识别前的车牌定位与分分、灰度归一化和尺度归一化等预处理工作，提取特征，运用模式识别算法实现车牌汉字识别，并给出实验结果。-Our license plate recognition is an important subject intelligent transportation, license plate character recognition is the difficulty to achieve
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
The-license-plate-recognition
- 首先，针对车牌图像预处理采用了灰度化、中值滤波等的算法。其次，车牌定位的模块中研究了基于Canny的车牌边缘检测算法和形态学操作，提高了系统定位的准确率。然后，用基于垂直投影的垂直切分算法对车牌进行字符切分。最后采用模板匹配的算法对车牌字符进行识别。 -Firstly, the license plate is with a gray image preprocessing, median filtering algorithm. Secondly, the plate positioning
dingwei
- 车牌定位，自己写的算法，效果还不错，但对于不同照片需要更改参数-License plate location, write their own algorithms, the effect is good, but for different photos need to change the parameters
ImageProcess-vehicle-license
- java写的车牌定位识别程序，有详细的算法设计文档 -Java car license recongnition with document in Chinese
license-plate-recognition-algorithms
- 一种非常有效的车牌识别算法，包括定位、分割、颜色识别、字符识别。-A very effective license plate recognition algorithms, including positioning, segmentation, color recognition, character recognition.
car
- 汽车牌照识别中车牌定位问题。车牌定位分为两步进行，首先对车牌进行初定位，对初定位后的车牌图像进行二值化、几何矫正，然后再精确定位车牌区域。同时，在matlab环境下仿真了汽车牌照识别，仿真结果表明，本文算法能很好的识别汽车牌照。-The problem of car license plate location. License plate location is divided into two steps, first at the beginning of vehicle license