提出了一种基于多次二值分类的复杂背景字符定位方法。
A method of complex background character location based on multiple bi-level classification is proposed.
相关技术有：车牌定位，字符定位，车牌倾斜纠正，字符识别等。
Related technologies: vehicle positioning, character positioning plates tilt corrected, such as character recognition.
本文主要研究自动驾驶机器人视觉系统中的牌照字符定位以及识别。
This thesis mainly studies character locating and recognition in vision systems of auto-driving robot.
整个识别过程包括字符定位、图像增强、字符倾斜校正、单个字符分割、归一化处理和特征选择与提取。
The aim of image pre-processing and feature extracting is to get feature vectors from tire-code characters.
实验结果表明，该方法的字符定位效果好，分割精度高，切分的结果可有效地应用于进一步的字符识别。
The experiments show that the method provides precise segmentation and orientation. Therefore, the proposed method is proved to be effective for application for further recognition of the postcode.
实现了对车牌的定位和车牌中数字字符的识别。
The license location and the digital characters recognition in the license plate were implemented.
在连字符和排版上仍然欠缺：打破常规人们阅读定位的文字，改变字母之间的间距。
They are also poor at hyphenation and justification: breaking words at lexically appropriate locations, and varying the spacing between letters and between words.
只需要用字符串创建一个新的表达式(要记住，这些都只是在XML文档中定位的引用，常常被称为位置路径)。
You can simply create a new expression (remember that these are just references, often called location paths, to locations within the XML document) as a string.
当您处于游标定位模式时，用户可以切换，或者定位游标到输入区域的任何一个字符之上。
When in cursor-positioning mode, the user can tab to, or position the cursor on, any character in the input field.
由于WKT和svg字符串的实际大小是未知的，DBA通过定位符在DB 2与该函数之间发送数据。
Since the actual size of the WKT and SVG strings are unknown, the DBA sends the data between DB2 and the function via locators.
长度0是定位在中轴线上的，长度在3个字符以上的域名才会出现在图中。
While 0 is plotted on the axis, only domains 3 or morecharacters long are charted.
例如，有了CharBuffer，可以用get获得下一个字符，用get (intindex)获得某个特定位置的字符，或者用get (chardestination)获得一串字符。
For example, with CharBuffer you can get the next char, get (int index) the char at a specific position, or get (char destination) a bunch of chars.
在字符类型数据对象操作时查找定位。
Found location in operations with character-type data objects.
软件组成系统主要包括运动检测算法、车牌定位算法和字符识别算法。
The software system includes algorithms for movement detection, vehicle card orientation and character recognition.
可以让vi在文件中的特定位置放上书签。方法是按escape键，再按m键，然后输入另一个表示书签引用的字母表字符。
You can tell vi to place a bookmark at a point in a file by pressing the m key followed by another alphabetic character that denotes the bookmark reference.
下面概要文件中的字符串都是可定位的。
域名：是互联网络上识别和定位计算机的层次结构式的字符标识，与该计算机的互联网协议(IP)地址相对应。
Domain name refers to the character identification of hierarchical structure that identifies and locates a computer on the Internet and corresponds to the IP address of this computer.
本文对车牌识别系统的车牌定位、字符分割和字符识别进行了系统的研究。
This paper has studied a lot of method and theory about vehicle plate location, character divide and character recognition systemically.
车辆牌照识别(LPR)作为一个综合的实时计算机视觉系统主要包括牌照定位分割和字符识别两个部分。
As a comprehensive real-time computer vision system, the vehicles license plate recognition (LPR) mainly includes the division of license plate localization and recognition of character.
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。
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.
文中提出了灰度图像下的行分割方法和基于最大宽度回溯算法的单字分割算法，从而实现了字符的精确定位。
We provide the algorithm of line segmentation under gray level image and character segmentation based on the biggest width backtracking algorithm to get the accurate position of characters.
提出了一种集装箱箱号字符粗定位方法。
A rough localization method for container code characters is proposed.
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.
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.
指示指定字符串中位于指定位置处的字符是否属于字母类别。
Indicates whether the character at the specified position in a specified string is categorized as an alphabetic character.
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.
本论文的研究重点主要包括文字区域的定位、字符的分割和字符识别三个部分。
The research emphases of this paper include three parts: the orientation of character region, character segmentation and character recognition.
字符分割是在牌照定位后把字符从牌照中分割出来的过程，然后送到字符识别系统识别。
Character extraction is to get the characters from the plate after the plate location, and then send them to character recognition system to recognize.
字符分割是在牌照定位后把字符从牌照中分割出来的过程，然后送到字符识别系统识别。
Character extraction is to get the characters from the plate after the plate location, and then send them to character recognition system to recognize.
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