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一个关于汽车牌照识别的文章,是论述和方案的,但也是在网上搜的,希望随大家有什么帮助吧。-a vehicle license plate recognition on the article is discussed and programs, but is also found on the Internet. With the hope that we have nothing to help it.
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Automatic license plate recognition
(LPR) is one of the techniques that can be used
for the identification of vehicles. The purpose of
this paper is to investigate a suitable way to
recognize the registration plate from an image of
vehicle,
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本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法-In this paper, a new algorithm for vehicle license
plate identification is proposed, on the basis of a novel adaptive
image segmentation technique (Sliding Windows) in
conjunction with a character recogni
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用于测试车牌识别软件的车辆图片,JPG格式,正面拍摄,蓝色车牌,在测试车牌识别监测系统时,比较实用。-License plate recognition software used to test a vehicle images, JPG format, front shot, blue license plates, license plate recognition surveillance system in the test, the more practical.
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提出了一种复杂背景下的多车牌图像分割和识别方法,首先采用统计和特征匹配相结合的方法进行背景提取,将可能存在车辆的区域提取出来;然后分别对可能的车辆区域进行局部边缘检测,并使用车牌的先验知识确定车牌的位置和单个字符分割,包括车牌倾斜时的字符分割;最后使用PCA和神经网络相结合的方法精确识别车牌。-Proposed a multi-plate image segmentation and recognition method under a complex background, the first
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该程序能实现车牌的准确识别,非常适合做车牌识别的研究者,程序绝对能用,童叟无欺!-The program can achieve accurate license plate recognition, license plate recognition is very suitable for researchers, program absolutely can, fair trade!
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车辆自动识别(AVI)是智能交通系统中的一项重要技术。汽车牌照识别是实现车辆自动识别的一种重要的技术手段。而从包含汽车牌照的图像中准确、快速地分割出牌照区域是实现车牌自动识别的一个关键步骤。
本文主要研究了汽车牌照识别中车牌定位问题。车牌定位分为两步进行,首先对车牌进行初定位,对初定位后的车牌图像进行二值化、几何矫正,然后再精确定位车牌区域。同时,在matlab环境下仿真了汽车牌照识别,仿真结果表明,本文算法能很好的识别汽车牌照。
-the Vehicle automatic ident
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