共查询到19条相似文献,搜索用时 562 毫秒
1.
基于特征的车辆牌照定位算法 总被引:14,自引:1,他引:14
车辆牌照定位是车辆牌照识别中的重要步骤,文章针对车图象的复杂背景及非均匀的光照条件,提出了一种基于特征的车牌实定位算法。实验结果表明,该处一位准确率较高,鲁棒性较好。 相似文献
2.
3.
4.
本文基于车牌识别系统,提出一种基于单目视觉的前方车辆距离测量方法。全文根据图像变换、模型成像、视觉测量等方法,分析研究LPR测距的理论,设计出单目视觉测距的应用模型。利用车辆几何特征信息定位前方车辆的位置图像信息,最终利用车牌信息测量前方车辆距离。 相似文献
5.
车牌定位及车辆识别是智能交通管理的主要研究问题.车牌定位识别,通过对图像进行预处理并结合形态学能粗略获取候选车牌位置,对符合特征的候选车牌进行筛选,精确获取车牌位置,最后采用神经网络完成字符识别过程.车辆识别采用迁移学习,采用AlexNet卷积神经网络构造出深度特征向量.形态学能够应对灰度底质量差的情形,为字符识别提供保障.车辆识别时对比直接分类图片特征,迁移学习构造的深度特征分类精度为85.13%,提高了38%,验证了迁移学习的有效性,通过KNN算法表明深度特征能够表征图片属性.针对新数据集重新提取特征、训练样本将消耗大量时间,对比迁移学习和AlexNet框架发现分类精度持平,表明了迁移学习的鲁棒性. 相似文献
6.
7.
8.
9.
在文章中,我们提出一个高效的基于车牌清晰度改进算法对图像进行融合识别,并使用相同的多个图像车辆在道路的不同位置使用信息冗余。该算法用于雷达车牌探测,可以估算车辆的速度,提取车牌并改善其对比度融合。与传统闪光雷达不同,该系统使用视频流处理并可处理更多数据。这里使用了不同的图像处理技术,canny边缘检测器并形成检测本地化和提取车牌块,形态操作并过滤以帮助过程和所有几何转化为有效的融合。 相似文献
10.
11.
M. -K. Kim 《International Journal of Automotive Technology》2010,11(5):751-758
License plate location is a challenging task that is necessary for automatic vehicle identification. This paper presents a
new method for locating a license plate when its size and aspect ratio are highly variable. The proposed method begins with
an assumption that a license plate exists in a region where dense edges are located. We define an edge region as an area containing
rich edges. The edge regions are created by dilating vertical edges, and they are classified into one of four types: left
fragment type, right fragment type, whole type, and undefined type. The candidates for a license plate region are constructed
by merging edge regions. Knowing what type of edge region is being examined is useful in the merging process. Finally, we
verify whether each candidate contains a license plate or not by using the character arrangement information. The arrangement
pattern is determined by the size of connected components and by the vertical overlap or horizontal distance between two neighboring
components. Experimental results show that the proposed method gives robust results regardless of any variation in the size
and aspect ratio of license plates. 相似文献
12.
13.
车牌定位是车牌自动识别系统的关键。提出了一种以纹理特征为主要手段,以彩色特征为辅助手段的多特征定位算法,对不同背景和光照条件下的各类车牌图像进行了实验,结果表明该算法是一种可行的方法。 相似文献
14.
15.
License plate extraction method for identification of vehicle violations at a railway level crossing
B. K. Cho S. H. Ryu D. R. Shin J. I. Jung 《International Journal of Automotive Technology》2011,12(2):281-289
The primary cause of most railroad accidents is vehicle entry into railway level crossings despite warning messages. To identify
drivers who violate railway level crossing regulations, vehicle license plate recognition can be applied at railway level
crossings. The purpose of this paper is to present an effective method for extracting the license plate region from vehicle
images taken at railway level crossings. The method proposed in this paper uses the variation in the gray-level values across
the image of a license plate. For license plate region extraction, the character region is first recognized by identifying
the character width and the difference between the background region and the character region. The license plate region is
then extracted by finding the inter-character distance in the plate region. In addition, the license plate type is identified
by the difference in the gray-level value between the background region and the character region. The proposed method is effective
in solving the current challenges in extracting the license plate region from the damaged frames of license plates issued
for domestic use, including new types of license plates. According to the experimental results, the proposed method yields
a high extraction rate of 99.5% for vehicle license plates. 相似文献
16.
17.
D. -J. Kang 《International Journal of Automotive Technology》2009,10(2):205-210
In the last decade, vehicle identification systems have become a central element in many applications involving traffic law
enforcement and security enhancement, such as locating stolen cars, automatic toll management, and access control to secure
areas. As a method of vehicle identification, license plate recognition (LPR) systems play an important role and a number
of such techniques have been proposed. In this paper, we describe a method for segmenting the main numeric characters on a
license plate by introducing dynamic programming (DP) that optimizes the functionality describing the distribution of the
intervals between characters, the alignment of the characters, and the threshold difference used to extract the character
blobs. The proposed method functions very rapidly by applying the bottom-up approach of the DP algorithm and also robustly
by minimizing the use of environment-dependent image features such as color and edges. 相似文献
18.
目前,车牌识别发挥在众多应用程序和许多技术已经提出。但是,他们中的大多数可以仅适用于单行车牌。在实际应用程序方案,也有现有的许多多行车牌。传统方法需要对双行车牌的原始输入图像。这是一个非常复杂场景中的难题。为了解决这个问题,我们建议一个端到端的神经网络为两个单行和双行车牌识别。是的原始输入车牌图像的分段。我们查看这些整个图像作为一个单位在要素映射后直接深度卷积神经网络。大量的实验表明我们的方法是有效的。 相似文献
19.
车牌识别系统是近年来用于公路收费管理,作为路费堵漏技术手段而推广的一项新技术,我国尚未对此制定相应标准和规范,国际上也没有可参照的技术协议或标准等。文章介绍了与之相关的背景,对该工程的监理实施从重点环节到测试方法进行了探讨,同时论述了开展监理工作的层次和规范化工作程序。 相似文献