基于分割和模板匹配的连接笔迹在线识别

Q4 Computer Science

模式识别与人工智能 Pub Date : 1992-08-30 DOI:10.1109/ICPR.1992.201754

C. Higgins, David M. Ford

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引用次数: 11

摘要

用户通过用触控笔在显示器上绘图来与基于笔的计算机交互。手写显然是向这些机器输入数据的方法。这需要草书识别(CSR)，它可以理解不受约束的自然手写。作者已经开发了一个在线CSR系统，任何人都可以用它来编写相当简洁的脚本。本文描述了所使用的分割和模板匹配过程

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Online recognition of connected handwriting by segmentation and template matching

Users interact with pen-based computers by drawing on the display with a stylus. Handwriting is the obvious method for entering data onto these machines. This requires cursive script recognition (CSR), which comprehends unconstrained, natural handwriting. The authors have developed an online CSR system that can be used by any person with reasonably neat script. This paper describes the segmentation and template matching process used.<>

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来源期刊

模式识别与人工智能 Computer Science-Artificial Intelligence

CiteScore

1.60

自引率

0.00%

发文量

3316

期刊介绍：