单字符

• And method of individual character font recognition based on guidance font is used to identify the non - dominant font in a document . the results of experiments show that the afrr is 98 . 6 %
  对于混杂有非主要字体的文本块，使用“基于篇章字体导引的单字符字体识别方法”处理，实验结果表明，平均字体识别率达到了98 . 6 。
• The abbreviated era name is the first character of the full era name ; that is , either the single - character case - insensitive latin alphabet abbreviation or the single - character kanji abbreviation
  中，缩写纪元名称是完整纪元名称的第一个字符；也就是说，或者是不区分大小写的单字符拉丁字母缩写，或者是单字符异体汉字缩写。
• This thesis introduces the research meaning and some methods of chinese characters recognition post - processing . and adopt stat . - base method to do the post - processing to the single character recognition result
  本文介绍了汉字识别后处理的研究意义和后处理的一些方法，并采用基于统计的后处理方法对单字符识别结果进行了后处理。
• The following table lists the command - line options . in addition to the listed options , all single - letter compiler directives can be specified on the command line , as described in compiler directive options
  下列表中列出所有的命令行参数。在附加的选项列表中，所有的单字符编译器指令都可以在命令行编译中使用，详情请参照：编译器指令。
• By this time , the rate of single handwritten character recognition , especially figure recognition , has reached 95 % . but to the sequential characters , or mathematic character recognition there is not a perfect product
  到现在，单字符手写体识别，尤其是数字识别率接近95 ，但对于连续的字符书写，尤其是有数学符号的情况下，由于联机手写的随意性比较大，写作不规范，还没有一个成熟的产品。
• The difficulties lie hi that there is any disturbance of yawp , character conglutination , and character rupture etc . the paper first presents some methods that adopt prior knowledge of the license plate , perpendicular projection , and minimum character area and so on
  车牌图像的单字符分割即把车牌的整体区域分割成单字符的区域，以便后续进行识别，车牌字符分割的难点在于噪声和字符粘连、断裂对分割的影响。
• For the current research of the chinese character recognition system , most of them are based on single character recognition . first the system need segment the continuous characters to single character , and then recognize the character respectively
  从目前联机汉字识别技术的发展来看,大多数的识别系统主要是针对单个汉字字符进行识别的,首先需要对连续输入的字符进行分割,分割为单字符数据,然后由单字符识别引擎进行识别。
• In order to further video analysis , an algorithm of abrupt shot boundary detection based on fuzzy clustering neural network ( fcnn ) is proposed , and it has the advantages of high precision as well as robust to fast move . caption segmentation is the key to the whole process , fcnn can also be utilized to locate caption region , however , the technique is time - consuming . thus an improved projection segmentation method is presented , and the experimental results show that it is simple and practical , and fits for real - time processing
  为了便于后续的视频分析，提出了一种基于模糊聚类神经网络( fcnn )的镜头突变检测算法，实现视频镜头分割，该算法具有检测精度高、对运动稳健等优点；区域定位是字幕提取的关键一环，同样利用fcnn分类器可实现字幕定位，但其运算量大，定位精度不高，因此提出了一种改进的投影分割方法实现字幕区域定位分割，实验表明其简单实用，适于实时处理；考虑到单个字符背景相对简单，为此提出了一种基于单字符的字幕二值化算法，最终在经由字符分割、二值化及残留背景像素清除之后，得到了清晰、高质的字幕图像，字符识别结果证明了这一点。