搜索资源列表
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
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.
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
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
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)
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)
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)