一种有效的无笔划顺序在线汉字识别算法

Wenjie Cai, S. Uchida, H. Sakoe
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引用次数: 9

摘要

本文研究了一种基于立方图笔画顺序生成模型和动态规划(DP)的在线手写笔画顺序分析算法——立方搜索的改进。通过将特征划分为根,将模型分解为根内图和根间图。这种分解大大降低了冲程顺序搜索DP的时间复杂度。实验结果表明,该方法显著提高了运算速度。此外,通过禁止不自然的笔画顺序,识别精度也得到了提高
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Radical-Based Algorithm for Stroke-Order-Free Online Kanji Character Recognition
This paper investigates improvements of an online handwriting stroke-order analysis algorithm - cube search, based on cube graph stroke-order generation model and dynamic programming (DP). By dividing character into radicals, the model is decomposed into intra-radical graphs and an inter-radical graph. This decomposition considerably reduces the time complexity of stroke-order search DP. Experimental results showed an significant improvements in operational speed. Additionally, recognition accuracy was also improved by prohibiting unnatural stroke-order
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