搜索资源列表
OpenCVHello
- OpenCV的轮廓识别，自己用MFC+OpenCV写的轮廓识别与字符分割小软件.软件可实现轮廓识别的准确分割.-OpenCV' s profile recognition, they used to write the outline of MFC+ OpenCV recognition and character segmentation in a small software. Software to achieve accurate segmentation contour dete
cvCarRecog
- 基于Opencv的汽车牌照定位与字符识别源代码，可以运行 -Vehicle License Plate Location Based on Opencv and character recognition source code, you can run
CarRecognization
- 基于Opencv的汽车牌照定位与字符识别源代码，可以运行-Vehicle License Plate Based on Opencv location and character recognition source code, you can run
ocr
- 这是一个基于OFFICE组件的字符识别及OPENCV简单操作，图片路径需要自己进行更改，代码里面有详细说明-This is a component-based character recognition and OFFICE OPENCV simple operation, image paths need to make changes to their code which is described in detail
opencv
- opencv字符检测 字符识别检测算法使用vc-opencv char detect
plateidentify
- 车牌识别 opencv 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。-License plate recognition opencv The first open a picture and then follow the order of grayscale, binary, gray stretch,
opencvCar
- 基于opencv的车牌识别程序，能实现目标跟踪，截图，车牌识别包括了打开图像、图像二值化、车牌定位、字符分割、字符识别等。-Opencv-based license plate recognition program, to achieve the target tracking shots, license plate recognition, including the open image, image binarization, license plate localization, c
opencv_OCR
- 基于opencv的OCR，字符识别，含有待训练的手写字符。-Based on the opencv OCR character recognition containing handwritten characters to be trained.
MFC-OpenCV
- OpenCV视频教程,目标检测与跟踪,车辆特征识别,人脸识别,字符识别,特征提取, 图像分割,手势识别,计算机视觉视频教程,opencv基础知识 -OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces
LicenseplateRecognition
- 车牌牌照检测识别完整源代码 开发环境：vc6.0和opencv1.0 整体功能：是为了实现车牌自动跟踪，检测，并拍照，定位，识别，但是跟踪和拍照等于没有实现。 实现功能： 能实现视频中物体跟踪，但必须是手动圈住才行，摄像头是usb摄像头. 打开车牌图片，能进行定位，车牌分割，字符分割，字符识别。(License plate recognition)
Character_Recognition
- 本程序主要参照论文，《基于OpenCV的脱机手写字符识别技术》实现了，对于手写阿拉伯数字的识别工作。识别工作分为三大步骤：预处理，特征提取，分类识别。预处理过程主要找到图像的ROI部分子图像并进行大小的归一化处理，特征提取将图像转化为特征向量，分类识别采用k-近邻分类方法进行分类处理，最后根据分类结果完成识别工作。 程序采用Microsoft Visual Studio 2010与OpenCV2.4.4在Windows 7-64位旗舰版系统下开发完成。并在Windows xp-32位系统下测试
opencv 的手写数字字符识别
- 基于opencv 和机器学习方法的手写数字字符识别(Handwritten numeral character recognition of opencv)
easypr
- 中文车牌识别系统： 它基于openCV这个开源库。这意味着你可以获取全部源代码，并且移植到opencv支持的所有平台。 它能够识别中文。例如车牌为苏EUK722的图片，它可以准确地输出std:string类型的"苏EUK722"的结果。 它的识别率较高。图片清晰情况下，车牌检测与字符识别可以达到80%以上的精度。(Chinese car license plate recognition system: It is based on ope
字符特征提取
- 结合OpenCV在VS2015平台上对含有字符特征提取，例如可以进行车牌识别等(Combined with OpenCV on the VS2015 platform to contain character feature extraction, such as license plate recognition can be carried out)
数字识别4整理
- 该程序是基于opencv的 可以识别记事本的数字并输出识别结果 在opencv2.4.9，vs2013下能够运行(The program is a opencv - based number that can identify notepad and output recognition results that can run under opencv2.4.9, vs2013)
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.)
simpleCNN
- 在anaconda+opencv+tensorflow平台下，利用简单的CNN卷积神经网络进行手写字符识别(Under the anaconda+opencv+tensorflow platform, we use simple CNN convolution neural network to handwritten character recognition.)
Python-opencv车牌识别
- 算法思想来自于网上资源，先使用图像边缘和车牌颜色定位车牌，再识别字符。车牌定位在predict方法中，为说明清楚，完成代码和测试后，加了很多注释，请参看源码。车牌字符识别也在predict方法中，请参看源码中的注释，需要说明的是，车牌字符识别使用的算法是opencv的SVM， opencv的SVM使用代码来自于opencv附带的sample，StatModel类和SVM类都是sample中的代码。SVM训练使用的训练样本来自于github上的EasyPR的c++版本。由于训练样本有限，你测试时会
Python_VLPR-master
- 基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry
plateRecognition-master
- 基于python和opencv的车牌识别,包括车牌提取和字符识别 1,plate.py为提取和识别图片里面的车牌号码 2,切割和识别第一步车牌图片里面的字符,提取特征(License plate recognition based on Python and opencv, including license plate extraction and character recognition 1. Plate.py is used to extract and ide