文章基本信息

标题：A Robust Method for Recognizing Accents in Vietnamese Handwriting Characters
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作者：Trong-Nguyen Nguyen ; Huu-Hung Huynh ; Jean Meunier 等
期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2014
卷号：3
期号：1
页码：93
出版社：International Journal of Computer and Information Technology
摘要：Handwriting character recognition is one of the most common research topics. Many approaches have applied to English characters and achieve high accuracy. However, the complexities in the language of each country are not same. Vietnamese handwriting character recognition is facing many problems, most of them come from the accent. This paper focuses on accent recognition, especially when there is a connection between two accents - a common problem which affects the identification result. Our approach starts with separating accent from character using the connected-component labeling method. The obtained accent then is checked if it is single or multiple (the combination of many accents). The recognition is performed using support vector machines with the single accent, or hidden Markov model if the accent is multiple. Proposed solution has been tested and obtained high accuracy
关键词：Vietnamese handwriing character; accent; corner ; detector; branch separating; invariant moment; hidden Markov ; models (HMMs)