使用在线字符书写信息进行离线字符识别

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Pub Date : 2003-08-03 DOI:10.1109/ICDAR.2003.1227653

Hiromitsu Nishimura, Takehiko Timikawa

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引用次数: 16

摘要

各种变形字符模式的识别是离线手印字符识别的一个重要课题。尽管有许多识别技术的报道，但实际使用的足够识别性能尚未实现。我们的研究探讨了变形字符的有效识别技术，扩展了传统的识别技术，使用包含书写压力数据的在线字符书写信息。本研究扩展了传统的识别技术，使用包含书写压力信息的在线汉字书写信息。利用ETL6数据库中常见的手印英文字符模式，构建了基于简单模式匹配和HMM的识别系统，并进行了评价实验，以确定所提出的扩展识别方法的有效性。两种利用在线书写信息的扩展识别方法都提高了字符识别性能。

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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Offline character recognition using online character writing information

Recognition of variously deformed character patterns is a salient subject for offline hand-printed character recognition. Sufficient recognition performance for practical use has not been achieved despite reports of many recognition techniques. Our research examines effective recognition techniques for deformed characters, extending conventional recognition techniques using online character writing information containing writing pressure data. This study extends conventional recognition techniques using online character writing information containing writing pressure information. A recognition system using simple pattern matching and HMM was made for evaluation experiments using common hand-printed English character patterns from the ETL6 database to determine effectiveness of the proposed extending recognition method. Character recognition performance is increased in both expansion recognition methods using online writing information.

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Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.

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