符号识别的英文

• character recognition

• "符号"英文翻译    character; sign; symbol; mar ...
• "识别"英文翻译    discriminate; distinguish; d ...
• "光符号识别" 英文翻译 :    optical character recognition
• "光符号识别机" 英文翻译 :    optical character recognition machine
• "光学符号识别" 英文翻译 :    ocr
• "直接符号识别" 英文翻译 :    direct symbol recognition
• "光符号识别系统" 英文翻译 :    optical character recognition system
• "光学符号识别机" 英文翻译 :    optical character recognition machine
• "光学字符识别，光学符号识别" 英文翻译 :    ocr optical character recognition; optical character recognition
• "光学符号识别通用语言" 英文翻译 :    optical character recognition common language
• "符号识别字体识别文体识别" 英文翻译 :    character recognition
• "拨号识别" 英文翻译 :    dni dialed number identification
• "信号识别" 英文翻译 :    signal identification; signal recognition
• "信号识别灯" 英文翻译 :    marker light
• "信号识别肽" 英文翻译 :    signal recognition peptide
• "型号识别码" 英文翻译 :    modle id
• "引号识别项" 英文翻译 :    quoted identifier
• "拨号识别服务" 英文翻译 :    dialed number identification service
• "操作员号识别" 英文翻译 :    operator number identification
• "信号识别蛋白" 英文翻译 :    signal recognition proteins
• "信号识别技术" 英文翻译 :    blipology
• "信号识别颗粒" 英文翻译 :    signal recognition pars; signal recognition particle; singnal recognition particle
• "信号识别粒子" 英文翻译 :    signal recognition particle
• "信号识别时间" 英文翻译 :    signal recognition time
• "操作员编号识别" 英文翻译 :    oni operator number identification

• The recognition system of handwriting electronic component symbols based on neural network
  基于神经网络的手写电气元件符号识别系统
• In optical character recognition , the difference between color or shading of the printed material on a document and the background on which it is printed
  在光学符号识别中,文件上印刷材料的颜色或浓淡和印刷背景之间的差别。
• In chapter 5 , a method of offline graphics recognition based hausdorff distance is proposed in order to recognize and retrieve graphics in the form of bitmap
  第五章，提出一种基于hausdorff距离进行图形符号识别的方法，为以位图形式存放的图形符号的识别和检索提供了一个有效的途径。
• In paper , reaching the aim , firstly , we have researched thorough about symbol recognition and theory understanding relative theory and technology , and basing on those theory and technology , we adopt the based global characteristic symbol recognition and engineering drawing understanding algorithm which can automatic convert the vectorgraph which doesn ’ t include the relative physical information into the vectorgraph which includes the relative physical information . secondly , researching about the 2d computer animation technology and combine the cbt system , we have presented the new path animation model which include the union path description , animation pattern and time - velocity and time ? distance parts
  为达到上述目标,本文首先对目前图形符号识别技术进行系统的、较深入的分析,结合民航飞机原理图特点采用基于全局特征的符号识别算法对原理图进行符号处理,并以此为基础改进了基于图的方法和全局知识的语义分析方法相结合的原理图理解算法,可将无序的矢量图转化成高层的知识表示,为动画制作提供素材,为后续的电路完整性检测及动画自动播放提供相应的知识支持。
• Rfid ( radio frequency identification ) system is an automatic identification technology that has been developed since 1980s . compared with barcode system , optical character recognition technology , biometric identification technology , integrated circuit card , rfid system has particular contactless , anti - interference and environmental adaptability characters , so it becomes one of the most excellent automatic identification procedures that are applied in many fields
  发展到今天，射频识别技术和条形码识别技术、光学符号识别技术、生物识别技术、 ic卡( integratedcircuitcard )识别技术等这些自动识别技术相比，以它特有的无接触、抗干扰能力强等优点逐渐成为自动识别中最优秀和应用领域最广泛的技术之一。
• The total auto symbol recognition disposition method proposed in this paper can deal with the problem which converts papery of aircraft theory graphics or system graphics into vectorgraphs which can lose some useful information . furthermore , the display technique with multi - level buffer not only resolves the problem of high - speed for aircraft theory graphics or system graphics in cbt , but also ensures scrolling and zooming in / out smoothly and avoids the flashing phenomenon efficiently
  目前纸质的飞机系统图、原理图矢量化方法用基本的矢量图元按其位置来再现原始图,从而导致矢量后图中各符号整体信息丢失问题,该文提出的自动符号识别方法可有效地解决该问题,此外改进多级缓冲显示技术不但可有效地解决cbt中系统图、飞机原理图的快速显示,而且也保证图形可连续光滑滚动和消除放缩拖动时屏幕闪烁现象。
• Centered around graphics recognition in intelligent human computer interaction , stroke recognition of online graphics using single classifier , stroke recognition of online graphics using multi classifier combination , structure recognition of online graphics , offline graphics recognition and icon semantics association are discussed respectively in the dissertation
  本文围绕智能人机交互中的图形识别这个主题，分别讨论了联机图形笔划的单分类器识别、联机图形笔划的多分类器联合识别、联机图形的结构识别、脱机图形符号识别和图形符号语义联想等内容。
• The proposed method in this paper raised a way of relatively high performance recognition of pitman shorthand vocalized outline . the approach includes : a ) segmentation of the vocalized outlines , including correction of the over segmentation based on neural networks . b ) feature extraction and recognition of pitman shorthand consonant signs using neural networks
  在解决这些问题的基础上，完成了本文，主要内容有： ( 1 )速记手写体的预处理； ( 2 )辅音多音节音素符笔划的二次分割法，以及基于神经网络的对过分割的检测和纠正； ( 3 )基于神经网络的pitman速记辅音符号的识别； ( 4 )基于单个符号识别结果的整体单词识别。