基于HMM的在线阿拉伯语手写识别方法

2014 14th International Conference on Intelligent Systems Design and Applications Pub Date : 2014-11-01 DOI:10.1109/ISDA.2014.7066288

Hozeifa Adam Abd Alshafy, Mohamed Elhafiz Mustafa

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引用次数: 5

摘要

提出了一种新的在线阿拉伯语手写识别系统方法。该方法采用新的基于字符边界检测的词分割算法。并采用基于hmm的分类方法进行识别。一个数据集:苏丹科技大学在线阿拉伯笔迹(SUSTOLAH)被用于测试所提出的方法。给出了用数据集测试该方法的实验结果。

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HMM based approach for Online Arabic Handwriting recognition

This paper presents a novel system approach for online Arabic handwriting recognition. The approach segments the word using new character boundaries detection based algorithm. Moreover it employs HMM-based classification method for the recognition. A dataset: Sudan University of Science and Technology Online Arabic Handwriting (SUSTOLAH) is used in testing the proposed approach. Promising experimental results of testing the approach with the dataset are provided.

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2014 14th International Conference on Intelligent Systems Design and Applications

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