搜索资源列表
chepaishibie
- 确定车辆牌照在原始图像中的水平位置和垂直位置,从而定位车辆牌照,然后采用局部投影进行字符分割。在字符识别部分,提出了在无特征提取情况下基于支持向量机的车牌字符识别方法-Determine the horizontal position and vertical position of the vehicle license in the original image to locate the vehicle license, then the local projection characte
chepai
- 车牌定位识别系统,可以准确定位,识别车牌,-The license plate positioning recognition system can accurately locate, identify license plates
findcar
- 不错的车牌定位程序,实验效果准确率较高,能够准确识别各类车牌,并在环境较差的情况下也可以实现。-Good license plate positioning program
carimage
- 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,在没有安装此版本软件的机器上运行时需要将cv210.dll,cvaux210.dll,cvcore210.dll,highgui210.dll,ml210.dll这五个文件拷贝至*.exe可执行文件下。-First click Load Images menu items (lo
图像二值化
- 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
VCPP
- 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-Binarization, gray stretch, license plate location, binarization, skew correction and character segmentation, training the neural network, identifying characters
BP-neural-net-character-recognition
- BP神经网络实现字符的识别,从最开始的车牌定位到最终通过神经网络实现字符的识别。-BP neural network character recognition, license plate positioning from the beginning to the final neural network character recognition.
opencvCar
- 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。 -The overall function: Automatic Vehicle tracking, detection, and photographed, locate, identify, but tracking and photographing equal to not implement.
OpenCVCarDet
- 通过视频的车牌定位与车牌检测,可以进行车牌的字符识别。-Video license plate positioning and license plate detection.
XINGTAI_location
- 形态 车牌定位 二值--形态--(开闭合运算)--识别-Form of license plate location binary- form- (open-close operation)- Identify
License-plate-detection
- 车牌定位的一个示例程序,首先对其进行图像预处理,然后识别出其中所包含的数字-License plate positioning a sample program, it is subject image preprocessing, and then identify the figures contained therein
car
- 对车牌进行字典去噪,然后定位,识别,效果显著-Dictionary denoising was carried out on the license plate, then the positioning, identify, effect is obvious
program1
- 本文利用MATLAB从预处理、边缘检测、车牌定位、车牌切割,字符分割、字符识别等几个方面,具体介绍了数字图像处理中车牌自动识别的原理。-In this paper , Principle of automatic license plate recognition in digital image processing is specially introduced using MATLAB from some perspectives , which conclude processing ,
PlateReco
- 根据一系列的图像预处理算法,进行车牌区域的定位及其识别-License plate positioning and identification
TRY2LPR
- 系统的车牌定位及其识别源程序,显示各个阶段的处理结果,注释较为详细-License plate location and recognition system source code, showing the various stages of processing results, comments, more detailed
RBF_Network-
- 车牌定位模块的训练和识别过程也可以用上面的框图描述。车牌定位模块的目的是从整幅图像中定位出车牌的精确位置。主要利用的信息是车牌部分的纹理分布,主要利用的是水平和竖直两个方向上的边缘。-License plate positioning module training and recognition process can be described using the above diagram. License plate positioning module was designed from
cwsb
- 车牌定位与识别系统,方便简单。便于操作。当你需要的时候,直接就可以使用。-License plate location and recognition system
31boardDetectSys
- 车牌定位与识别系统,VC6.0实现,图像处理及智能识别-License plate location and recognition system, VC6.0 achieve, image processing and intelligent recognition
car-detecting_tracking
- 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-Is in order to realize the license plate automatic tracking, testing, and take photos, orientation, identification, but tracking and pictures is not implemented
source
- 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。-1 First, click Load Image menu item (loaded vehicle image), the image in the images folder below. 2, and then click the individual license plate location and recognition