This article introduces the algorithm of bicycle images binary and segmentation of characters.
文章介绍了车牌图像的二值化和字符分割算法。
The Unicode Text Segmentation Algorithms, covering sentences, words, and characters, were greatly enhanced to improve the processing of Tamil and other Indic languages.
在Unicode的文字分割算法，包括句子，词和字符，大大提高泰米尔和其他种语言的处理。
In the paper, a suppressed fuzzy c-means (S-FCM) algorithm, for intensity image segmentation, is proposed on the basis of the characters of FCM algorithm and intensity images.
该文根据FCM算法和灰度图像的特点，提出了一种适用于灰度图像分割的抑制式模糊C -均值聚类算法(S - FCM)。
Based on the analysis of the substrate image characters, a new fast image segmentation method has been discussed in this paper.
在分析了基板图像特征的基础上，提出了一种快速的基板图像分割方法。
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.
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。
This paper analyzes the characteristics of the characters under complex background to propose a segmentation method combining the threshold method and the region-growing method for the hue.
通过分析复杂背景中字符存在的特点，针对快速分割和识别的应用需求，提出了一种在色调上将阀值法和区域生长法相结合的分割方法。
The principle of the system, the segmentation algorithm of dot characters and recognisition method are introduced.
分析了系统原理，点阵字符分割算法及识别方法。
Given one category, the segmentation procedure can be transformed to a set of Markov transitions where the state is defined by the characters permutation.
给定一种类型的车牌，利用字符的可能排列方式定义马尔可夫链中的状态，可以将车牌字符分割转化为一组马尔可夫链的前向识别过程。
Segmentation of off-line handwritten Chinese characters is the premise of recognition. It is most difficult to segment connected characters.
离线手写汉字的切分是识别的前提，其中粘连手写汉字的切分最为困难。
This proposed segmentation method behaves particularly good for poorly printed characters, and it can make a good supplement of the most often used shortest path method.
该方法对印刷质量较差的粘连字符效果更好，可以作为常用的最短路径法的一个很好的补充算法，以提高分割成功率。
To solve this problem, a technique which is based on sliding window technique is presented for the segmentation of touching characters in mathematical expressions.
在印刷体数学公式识别中，不能很好地切分粘连字符是造成识别错误的主要原因。
The new methods of the early technique of LP recognition, including LP location, LP image contrast estimation, binarization, and characters segmentation are studied and proposed.
讨论了数字图像处理在车牌识别中所使用的各种技术，对于车牌边缘检测和车牌字符分割等关键处理技术进行了较为详细的论述。
This segmentation algorithm combines the speech segmentation approach based on energy with the characters of the database. Now, the automatic segmentation in the Bimodal Database can be realized.
该切分算法在基于能量的语音切分算法基础上，结合了双模态语料库的一些特征，实现了对语料的自动切分。
A kind of segmentation method of vehicle license plate characters based on neural networks and color feature is presented in this paper.
论文提出了一种基于神经网络和颜色特征的车牌字符分割方法。
A method for the hierarchical segmentation of Chinese words and characters is discussed in this paper.
本文提出一种通过人工考察字形、形层次生成过程，确定汉语字形、形层次切分的方法。
The characters segmentation is one of the key factors which affect character recognition in OCR system.
字符切分是影响ocr系统识别的关键因素之一。
In addition, in the preprocessing stage of the recognition of non-specific handwritten Chinese manuscripts, this paper presents a simple, rapid segmentation method of Chinese characters.
另外，在非特定手写文稿识别的预处理阶段，本文提出了一种简便、快速的汉字分割方法。
The experimental results show that satisfactory performance is achieved by the presented method for segmentation of connected handwritten Chinese characters.
实验结果表明，满意的性能是通过该方法分割的 连接的手写中国字。
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。
Based on several kinds of fractal characters, we can acquire the description of roughness of each part of the image. Then we can get the segmentation of the image.
首先构造了一组分形纹理特征，给出了图象不同部分的粗糙度及纹理基地大小、方向特性的描述，以此为基础进行图象分割。
The unrecognized new words can result in too many sequences of single characters in the segmented sentence, which decreases the segmentation precision to a remarkable extent.
新词的存在使得汉语分词结果中出现过多的“散串”，在很大程度上影响了分词的准确率。
The segmentation of the handwritten Chinese characters is the base of recognition, in which the division of the joining characters is the most difficult problem.
离线手写体汉字的切分是离线汉字识别的基础，其中以粘连字体的切分最难。
The segmentation of the handwritten Chinese characters is the base of recognition, in which the division of the joining characters is the most difficult problem.
离线手写体汉字的切分是离线汉字识别的基础，其中以粘连字体的切分最难。
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