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Off-line hand-written character recognition method using on-line writing information including writing pressure features

机译:使用在线写入信息的离线手写字符识别方法,包括写入压力功能

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摘要

In off-line handwriting character recognition, the improvement of a recognition performance to a deformed character pattern is a big subject. Although many recognition techniques are proposed, it has not been achieved sufficient recognition performance for practical use. This research examined the recognition technique strong against deformed characters, extending the conventional recognition technique by using the on-line character pattern information containing writing pressure features. In order to check the effects to off-line character recognition by using on-line character information, simple pattern matching and HMM character recognition method were extended, and the recognition system was made as an evaluation experiment. By using on-line writing features and writing pressure features, character recognition performances are increased by about 2% for simple pattern matching method, about 2% for HMM character recognition as a result of the recognition experiment using the common handwriting English character database.
机译:在离线手写字符识别中,将识别性能改进到变形字符模式是一个大主题。尽管提出了许多识别技术,但尚未实现足够的实际使用识别性能。该研究检测了识别技术强的变形特征,通过使用包含书写压力特征的在线字符模式信息来扩展常规识别技术。为了通过使用在线字符信息来检查对离线字符识别的影响,扩展了简单的模式匹配和HMM字符识别方法,并且将识别系统作为评估实验进行。通过在线写入功能和写入压力特征,简单模式匹配方法的字符识别性能提高了大约2%,因为使用公共手写英文字符数据库的识别实验,HMM字符识别的约2%。

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