符号识别 meaning in English
character recognition
Examples
- 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。