The acquisition of vehicle license plate image information is an important link of the automatic recognition for the license plate.
车牌图像信息采集是车牌自动识别的重要环节。
As a special computer vision system, the vehicle License Plate Recognition system can capture a vehicle automatically and identify the Numbers in the image.
汽车牌照识别系统作为一个专用的计算机视觉系统，能够自动地摄取图像和识别出车牌号码。
As a special computer vision system, the vehicle License Plate Recognition (VLPR) system can capture a vehicle automatically and identify the Numbers in the image.
车辆牌照识别(VLPR)系统作为一个专用的计算机视觉系统，能够自动地摄取图象和识别出车牌号码。
Generally speaking, the image segmentation method adopted in vehicle license plate recognition systems at present is not efficient due to its large search space.
因搜索空间太大，现有的车牌号码识别系统所采用的图象分割方法一般说来效率较低。
Vehicle license plate recognition system consists of 4 parts, which are license plate image preprocessing, license plate localization, character segmentation and character recognition.
车牌识别系统主要包括车牌图像预处理、车牌定位、字符分割和字符识别四大部分。
The technology of vehicle detection and license plate recognition are important parts of intelligent transportation system and hot research focus in image processing field.
车辆检测及牌照的识别技术是智能交通系统的重要组成部分，也是计算机视觉和图像处理领域研究的热点。
IT is well known that locating vehicle license plate is a very difficult problem in the fields of image segmentation and ITS (Intelligent Transprotation System).
汽车牌定位是一个公认的较难解决的图象侵害问题。
This paper presents a method of determining the type of vehicle-license-plate based on the gradient histogram and the gray histogram of the image of a vehicle-license-plate.
本文提出一种基于车牌图像梯度直方图和灰度直方图确定车牌类型的方法。
Research and Implementation of Algorithms for Vehicle License Plate Positioning & Characters Segmentation Based on Image Analysis;
提出了基于参数自校正纹理分析的牌照定位方法，提高了车牌定位的精度。
Research and Implementation of Algorithms for Vehicle License Plate Positioning & Characters Segmentation Based on Image Analysis;
提出了基于参数自校正纹理分析的牌照定位方法，提高了车牌定位的精度。
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