基于灵活模板匹配的手印汉字字符识别

Q4 Computer Science
J. Tsukumo
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引用次数: 25

摘要

介绍了一种基于柔性模板匹配的手印汉字分级分类识别方法。在该方法中,基于动态规划的非线性形状归一化和非线性模式匹配实现了两种柔性模板匹配。前者对手印汉字的局部形状恢复效率高,后者对手印汉字的局部形状恢复效率高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handprinted Kanji character recognition based on flexible template matching
Describes a handprinted Kanji character recognition by hierarchical classification based on flexible template matching. In the proposed method, two kinds of flexible template matching are realized by nonlinear shape normalization and by nonlinear pattern matching, based on dynamic programming. The former has the efficiency for local shape restoration and the latter has the efficiency for local shape restoration in handprinted Kanji character variations.<>
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来源期刊
模式识别与人工智能
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
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