There are two recognition methods: online recognition and offline recognition.
按识别的方式可分为联机识别和离线识别。
In recognizing number written by hand, the recognition of offline irregular number is more difficult to solve.
在人类手写教码识别中，脱机不规则数码的识别是识别算法中比较难解决的问题。
In this paper, we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis.
论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。
Hardware design and debugging of offline digits recognition system were finished. Image processing and recognition algorithm was also implemented in DSP environment.
本课题主要完成离线数字识别系统的硬件设计和调试，并完成了相应的图像处理和识别算法在DSP中的调试。
On analysis of online and offline handwritten Chinese character recognition system, a video-based online handwritten Chinese character recognition Method is proposed.
在分析传统联机与脱机手写汉字识别系统基础上，本文提出了一种基于运动图像的在线手写汉字识别新方法。
Offline machine printed character recognition, an important branch of pattern recognition, is one of the vitalest parts of intelligent interface.
脱机印刷体文字识别技术是模式识别研究领域的一个重要分支，是计算机智能接口的重要组成部分。
Offline machine printed character recognition, an important branch of pattern recognition, is one of the vitalest parts of intelligent interface.
脱机印刷体文字识别技术是模式识别研究领域的一个重要分支，是计算机智能接口的重要组成部分。
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