HIDDEN MARKOV MODEL WITH PARAMETER-OPTIMIZED K-MEANS CLUSTERING FOR HANDWRITING RECOGNITION

ZHANG YOUZHI; WANG JIN

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HIDDEN MARKOV MODEL WITH PARAMETER-OPTIMIZED K-MEANS CLUSTERING FOR HANDWRITING RECOGNITION

机译：具有参数优化K均值聚类的隐马尔可夫模型用于手写识别

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Handwriting recognition is a main topic of Optical Character Recognition (OCR), which has a very wide application. Hidden Markov model is a popular model for handwriting recognition because of its effectiveness and robustness. In this paper, a hidden Mark

机译：手写识别是光学字符识别（OCR）的一个主要主题，它具有非常广泛的应用。隐马尔可夫模型由于其有效性和鲁棒性而成为流行的手写识别模型。在本文中，一个隐藏的标记

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《Journal of Theoretical and Applied Information Technology》 |2012年第2期|共5页
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ZHANG YOUZHI; WANG JIN;
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中图分类计算技术、计算机技术;
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7. Hidden Markov Model with Parameter-Optimized K-Means Clustering for Handwriting Recognition [O] . Weijie Su, Xin Jin 2012

机译：具有参数优化K均值聚类的隐马尔可夫模型用于手写识别

HIDDEN MARKOV MODEL WITH PARAMETER-OPTIMIZED K-MEANS CLUSTERING FOR HANDWRITING RECOGNITION

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