波斯语文本的离线写作者识别

2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI) Pub Date : 2007-11-04 DOI:10.1109/MICAI.2007.37

A. Rafiee, H. Motavalli

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引用次数: 14

摘要

提出了一种新的波斯语文本脱机写作者识别方法。从手写文本行中获得的8种不同类型的特征被认为是基于他们的手写来识别作者的。这些特性与文本的高度和宽度有关。采用典型的前馈神经网络进行分类。该方法应用于20位写作5 ~ 7行的作者，识别率为86.5%。

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Off-Line Writer Recognition for Farsi Text

A new off-line writer recognition method for Farsi text is presented in this paper. 8 different types of features obtained from the handwritten line of text were considered to identify writers based on theirs handwritten. These features are associated with height and width of text. A typical feed forward neural network was used for classification. This method was applied to 20 writers who wrote 5 to 7 lines and 86.5% recognition rate was obtained.

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来源期刊

2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)

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