一个关于车牌定位的算法，能够对。
而车牌定位是该系统的关键之一。
研究了字符边缘色彩信息对车牌定位的作用。
The effect of character edge color information to vehicle license plate location is studied.
车牌识别系统主要包括车牌定位和字符识别。
The license plate recognition system contains two main parts:license location and character recognition.
实验结果表明该方法是一种有效的车牌定位方法。
The experimental result shows that the approach is good for vehicle license plate locating.
最后对牌照进行行扫描和列扫描，完成车牌定位。
Finally with the line scan and row scan, finishing the License Plate Location.
车牌定位在车牌自动识别系统中占有非常重要的地位。
License plate orientation plays an important role in license plate recognition system.
同时也研究了一些边缘检测算法在车牌定位中的应用。
At the meantime it also do car plate locating by several edge detection methods.
本文主要对车辆牌照识别系统中的车牌定位与字符分割技术进行研究。
This paper has studied on license plate localization and character segmentation in LPR system.
采用改进的BP神经网络，对汽车图像中车牌定位的方法进行了研究。
Does some research on detecting the license Number plate base on improved BP neural network.
提出了结合汽车车牌纹理特征分析和颜色特征分析实现车牌定位的方法。
This paper presents a new technique that can be used to locate vehicle plate area.
针对复杂环境下的车牌定位问题，提出了一种基于形态学的快速车牌定位方法。
A vehicle license plate location method based on morphology under complex circumstances is presented.
对汽车牌照的定位与分割技术进行了详细的论述。
Introduced the technology of orientation and segmentation of car plate in detail.
车牌图像定位与分割。
研究在复杂背景图像中快速定位车牌的方法。
Research for car license plate fast orientation in image under complex background.
尽管如此，目前国内尚无一个完善和通用的汽车牌照定位方法。
Nevertheless, there was not a perfect license plate location at home.
针对复杂背景中多个车牌的定位问题，提出一种新的定位方法。
A new method is presented in this paper for locating license plates in complex background.
最后根据车牌形状约束条件定位车牌区域。
Finally, several shape constraint conditions were employed to locate true license plate regions.
最后根据车牌特征实现定位与提取。
Finally locate and extract license plate according to the characteristic of license plate.
最后根据车牌特征实现定位与提取。
Finally locate and extract license plate according to the characteristic of license plate.
应用推荐