搜索资源列表
Car_character_segmentation
- 将已定位分割出的车牌图像,进一步进行字符分割并识别。-Car character segmentation
SegmentChar
- opencv实现车牌字符分割,CSegmentChar类提供了segmentChar函数传入RGB车牌图片,可得到分割好的字符图片-opencv license plate character segmentation,CSegmentChar class provides segmentChar function incoming RGB image plates obtained good character image segmentation
OCR
- 对8,24,32位BMP图像进行二值化,倾斜校正,字符分割,位置判断并且利用GOOGLE的开源识别字库进行字符识别的OCR代码-8,24,32 bit BMP images to binary, skew correction, character segmentation, to determine the location and use of open source GOOGLE character recognition character recognition in OCR code
MATLAB
- 光学字符识别,噪声去除,二值化,边缘检测,版面分析,字符分割-Optical character recognition, layout analysis, character segmentation
car
- 车牌识别,首先对车牌进行提取,对车牌二值化,字符分割,字符识别-License plate recognition, license plate first extracted, license plate binarization, character segmentation, character recognition
car-license-recognition
- 使用opencv2.1编写的车牌识别系统,包含车牌的提取,矫正,字符分割,车牌识别-Opencv2.1 prepared using license plate recognition systems, license plate containing the extracted, correction, character segmentation, license plate recognition
License-plate-segmentation
- 车牌字符分割的matlab实现已经比较成熟了,本程序是采用的二值划分法-Character segmentation matlab implementation is relatively mature, the program is the use of binary division method
image-text-segmentation
- opencv 图像文字分割,摄像头抓取后 作为O字符识别前一部 将字符分割开-opencv text image segmentation, after the camera as front crawl O character recognition a character separated
1213
- 汽车牌照作为车辆的唯一标识,在交通运行中,实现对车辆的跟踪以及确认都离不开车辆牌照的确定,且在交通流的统计中,车型的判别在交通流的统计中也占有举足轻重的作用。特别是在高速公路收费口处车型的判别为收费提供了依据。因此,本文主要设计了一个对车型和车牌图像进行处理的详细过程。本文主要是对车型进行准确的判别以及对车牌图像进行预处理、车牌定位、字符分割等处理。-License Plate Recognition
cpzffg
- MATLAB,车牌字符分割的程序,有用的程序。-MATLAB, the license plate character segmentation procedures, useful program.
automatic-license-plate-tracking
- 本程序开发环境:vc6.0 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。 操作步骤:程序主界面:有打开摄像头,关闭摄像头,截取图片,车牌识别 打开摄像头,可以看到视频中画面,移动鼠标圈住物体,可以自动跟踪。 截取图片,在打开设摄像头的情况下,
LPR
- 车牌定位及字符分割算法的研究与实现,很适合初学者去学习-License plate location and character segmentation algorithm research and implementation, it is suitable for beginners to learn
PlateIdentify
- 车牌识别,主要通过对车拍照片进行二值化、灰度处理、车牌定位、字符分割、字符识别-License plate recognition, primarily through the car pictures binarized gradation processing, license plate location, character segmentation, character recognition
ss
- ocr字符分割,通过连通域的方法分割字符-ocr character segmentation
License-plate-recognition
- 基于MATLAB的车牌识别,主要包括车牌定位、字符分割和字符识别三个核心模块。从预处理、边缘检测、车牌定位、字符分割、字符识别五个方面实现车牌识别-License plate recognition based on MATLAB, including license plate localization, character segmentation and character recognition three core modules. From the pretreatment, edg
文字识别:包括图像分割,粘连字符切分,文字识别
- 文字识别:包括图像分割,粘连字符切分,文字识别(Image recognition: including image segmentation, character recognition)
ProjSegement
- 对字符图像进行x,y轴投影分割,适合新手学习。(Character images for X, Y axis projection segmentation, suitable for beginners to learn.)
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)
神经网络 训练识别
- 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. First open a picture and then follow the sequence of grayscale, binary, grayscale stretching, license plate positioning, binarization, ti
LPR
- 提供一种最基础的车牌识别程序,需进行以下几个基本的步骤:车牌图像预处理;车牌定位,定位图片中的车牌位置;车牌字符分割,把车牌中的字符分割出来;车牌字符识别,把分割好的字符进行识别,最终组成车牌号码。(To provide a basic license plate recognition program, the following basic steps need to be carried out: image preprocessing of license plate; Location