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Recognition_Test(1)
- 基于opencv的车牌定位与字符裁剪，能够初步定位出车牌的区域，然后裁剪出每个字符。-Opencv-based license plate location and character cutting, to initially locate the license plate area, and then cut out each character.
license-plate-localization1
- OPENCV做的固定阀值车牌定位完整源代码-OPENCV fixed threshold full source code license plate location
license-plate-localization2
- OPENCV做的自适阀值车牌定位完整源代码-Adaptive threshold OPENCV do full source code license plate location
opencvCar
- 开发环境：vc6.0 ,opencv1.0.整体功能：实现车牌跟踪，检测，车牌定位，车牌分割，字符 分割，字符识别，其中车牌跟踪和车牌检测不是很好，但是对于已经拍好的图片，车牌定位， 车牌分割，字符分割和字符识别效果很好。程序中的核心算法，本人已加详细注释。具体详见程序说明。希望对你有所帮助。-Development Environment: vc6.0, opencv1.0. Overall functions: license plate tracking, detect
LPLocation_Test
- opencv 车牌定位 得到二值图像，然后再用形态学扩张与形态学侵蚀，使得目标轮廓不会出现影响判断的断点与连接，最后根据寻找米粒的方法把车牌定位-opencv license plate location to get binary image, then use morphological dilation and morphological erosion, making the target profile will not affect the judge' s break wit
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
realize
- 能够实现车牌定位以及字母分割，能够较好实现功能-License Plate Segmentation
main
- 提供一张包含车牌的照片（车牌占主要部分），能够准确定位并且实现字符分割。-Contains a photo of the license plate (license plate accounts for the main part), able to accurately locate and character segmentation.
Demo
- 有关车牌识别的程序，是支持向量机和神经网络一起写的。包括车牌的预处理、定位、分割、字符识别等。-For license plate recognition program, support vector machines and neural networks wrote together. Pretreatment including the license plate, positioning, segmentation and character recognition.
chepaidingwei
- 利用OpenCV进行车牌定位，基于边缘检测，效果良好-Use OpenCV for license plate location based on edge detection, to good effect
OpenCV-CarPalate
- OpenCV 车牌精确定位 使用OpenCV的FindCountours函数-OpenCV Car palate registration
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
Demo
- 可以实现精确的车牌定位的demo,使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。 -Can achieve precise positioning of the plates
License-plate-location
- 基于opencv的车牌定位程序，检测边缘角点，匹配出最可能的区域 -The optical flow method based on target detection program delivery, real-time display of object trajectory
plate-location11
- 车牌定位,基于颜色和轮廓，opencv代码，c-car plate location
LPRS-Python-opencv-
- 这个是自己用Python2.7写的基于opencv的车牌识别,目前识别率还是不怎么高,车牌定位采用的是形态学变换,分割是自己写的一个算法,识别部分采用的是kNN算法,有详细的注释!-This is his written in Python2.7 opencv based license plate recognition, the recognition rate is not very high, license plate location is the morphological tra
License-plate-location
- 车牌定位，可以有效地识别图像中的车牌，并准确定位。-License plate location, can effectively identify the image of the license plate, and accurate positioning.
platelocate2
- 车牌处理，进行高斯模糊、sobel算子以及阈值分割(Plate processing, gaussian blur, sobel operator and threshold segmentation)
cartest2
- 车牌定位，分割，实现了车牌的二值化 滤波、膨胀、腐蚀、等预操作，然后进行了定位于分割(The license plate location, segmentation, binarization of license plate Filtering, expansion, corrosion, pre operation, and then the positioning in the segmentationn)
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