A new algorithm for license plate character segmentation based on differencing projection and preferably segmented characters is proposed.
针对车牌字符分割提出一种基于差分投影与优割字符的车牌字符分割算法。
LPRS is consisting of hardware and software, and this article studies the algorithm of license plate location and the algorithm of license plate character segmentation in LPRS.
车牌识别系统主要由硬件和软件构成，本文主要介绍了车牌识别系统中的车牌定位与车牌字符分割算法。
According to the areas of the license plates, complete a single character segmentation using the vertical projection that combined with prior knowledge of the license plate character segmentation.
根据分割出的车牌区域，采用一种垂直投影结合先验知识的车牌字符分割法，完成单个字符的分割。
The whole process of the system can be divided into three stages: locate license plate, character segmentation and character recognition.
本论文的研究内容包括汽车牌照的定位、字符分割和字符识别三个部分。
The article aims at the characteristics of license plate images, and puts forward a new approach to license plate preprocessing by character segmentation.
本文针对车牌图像的特点提出了一种针对字符分割的车牌图像预处理方法。
Its measure is to deal with the inputted images, exploit license plate location character segmentation character recognition to extract the character strings, and express these strings in text form.
本文的处理手段是对输入的汽车图像进行预处理，运用车牌定位、字符分割、字符识别的方法提取车牌上的字符串，并以文本的形式输出。
License plate recognition includes four steps, that is, license plate orientation, license plate lean revise, character segmentation and character recognition. It introduces the above four steps.
通过车牌定位、车牌倾斜校正、字符切分和字符识别四个步骤完成了汽车牌照的识别，介绍了每一步骤的关键技术和实验结果。
The kernel technique of the license plate Auto recognition System is mainly composed of license plate locating, character segmentation and character recognition.
汽车牌照自动识别系统的核心技术主要包括车辆定位、字符分割和车牌字符识别。
The thesis aims at researching the following two aspects in the License Plate Recognition System: license plate location and character segmentation.
本文对车牌识别系统中的车牌定位和车牌字符分割这两个主要问题，开展了部分研究工作。
The LPR algorithm consists of three steps: license plate locating, character segmentation and character recognition.
车牌识别系统包含三个部分；车牌定位、字符分割和字符识别。
In this paper, the system of license plate location and character segmentation, feature extraction, BP neural network classifier etc modules have had a more detailed research.
本文对系统中的车牌定位和字符分割、特征提取、BP神经网络分类器等模块进行了较详细的研究。
License plate location; Character segmentation; Feature extraction; Character recognition; Neural network.
车牌定位；字符分割；特征提取；字符识别；神经网络。
License plate recognition algorithm consists of three modules in general, those are: license plate location, character segmentation and character recognition.
车牌识别算法一般可以分为车牌定位、牌照上字符的分割和字符识别三个主要组成部分。
License plate recognition system is consisted by three parts: License plate location, character segmentation and character recognition.
车牌识别系统分为车牌定位、字符分割和字符识别三个部分。
Vehicle license plate locating is of vital importance in license plate recognition system. This paper proposes a new license plate detection and character segmentation method.
车牌图像定位是车牌照识别系统的关键，该文提出了一种在高速公路复杂背景下的车牌定位与车牌字符分割方法。
This paper has studied on license plate localization and character segmentation in LPR system.
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。
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。
License plate Recognition system includes three parts: plate pretreatment and positioning, character segmentation and identification of a single character.
汽车牌照识别系统主要包括三个部分：车牌预处理和定位、字符的分割以及单个字符的识别。
License plate Recognition system includes three parts: plate pretreatment and positioning, character segmentation and identification of a single character.
汽车牌照识别系统主要包括三个部分：车牌预处理和定位、字符的分割以及单个字符的识别。
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