搜索资源列表
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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
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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.
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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
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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
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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
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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
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这是车牌识别软件（附带几张带图片），大家可以通过它了解电子警察为什么可以这么快就能识别你的车牌，发出罚款单。-License plate recognition program, the accuracy is very high. The process is: the license plate location, the license plate image binarization, license plate character normalization, the license
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opencv车牌识别 可以在光线条件不佳的情况下识别出车牌位置-opencv license plate recognition can identify the license plate location in the case of poor lighting conditions
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基于颜色空间的车牌识别。用HSV颜色空间进行颜色阈值判断来找出车牌的位置。-Color space based license plate recognition. HSV color space using color threshold determination to find the location of the license plate.
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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
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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
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可以实现对车牌位置的锁定，用神经网络法来提取-Can realize the locking of license plate location, use neural network to extract
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一个简单的车牌位置定位程序，要先配置opencv-A simple license plate location positioning
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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
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对拍摄的图像进行车牌提取，2值化，形态学处理，后用轮廓定位定位出车牌位置，最后提取-Images captured license plate extraction, binarization, morphological processing, after the license plate with the outline of positioning positioning location, and finally extract
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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
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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.
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本程序开发环境：vc和opencv
整体功能：是为了实现车载视频中车牌自动跟踪，检测，，定位，识别，视频中物体的跟踪必须是手动圈住才行，摄像头使用的是usb摄像头. 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。-This program development environment: VC and opencv
The overall function: in order to realize the video vehicle license plate auto
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我编写的基于颜色分量的汽车牌照定位识别,主要有以下几步(I write the car license plate based on color components of location identification, basically has the following steps)
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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)
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