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2018 | OriginalPaper | Chapter

Online Handwritten Character Recognition of New Tai Lue Based on Online Random Forests

Authors : Yong Yu, Pengfei Yu, Haiyan Li, Hao Zhou

Published in: Advances in Intelligent Systems and Interactive Applications

Publisher: Springer International Publishing

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Abstract

The character recognition technology has been widely developed during these years, but the character recognition study for the new Tai Lue has lagged behind. As a result, the digital processes of new Tai Lue have been in troubles. To solve this problem, this paper proposed an online handwritten character recognition method of new Tai Lue based on online-random forests in on-line training model. Firstly, the handwritten new Tai Lue characters are preprocessed, and then the eigenvectors of these characters are extracted. Finally, the appropriate training samples and test samples are selected, online-random forests algorithm is used to train and test them. When it iterates ten times, the recognition rate reaches 87.86%. The experimental results show that online-random forests algorithm is effective in online handwritten character recognition for new Tai Lue.

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Metadata
Title
Online Handwritten Character Recognition of New Tai Lue Based on Online Random Forests
Authors
Yong Yu
Pengfei Yu
Haiyan Li
Hao Zhou
Copyright Year
2018
Book
Advances in Intelligent Systems and Interactive Applications

Print ISBN: 978-3-319-69095-7

Electronic ISBN: 978-3-319-69096-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69096-4_59

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