ADAB数据库中联机阿拉伯语手写字符的分割识别

2011 10th International Conference on Machine Learning and Applications and Workshops Pub Date : 2011-12-18 DOI:10.1109/ICMLA.2011.120

S. Abdelazeem, Hany Ahmed

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引用次数: 8

摘要

本工作的目的是通过研究不同特征提取方法对在线分割阿拉伯字符的性能，填补阿拉伯手写识别文献的空白。本文的贡献是介绍了一个大型的在线手写分割阿拉伯字符数据库，并报告了各种特征提取技术在分割字符上的性能，以作为未来在线阿拉伯字符识别问题工作的基准。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Recognition of Segmented Online Arabic Handwritten Characters of the ADAB Database

The aim of this work is to fill a void in the literature of Arabic handwriting recognition by studying the performance of different feature extraction methods on online segmented Arabic characters. The contribution of this paper is to introduce a large database of segmented online handwritten Arabic characters and report the performance of various feature extraction techniques on the segmented characters to serve as a benchmark for any future work on the problem of online Arabic characters recognition.

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2011 10th International Conference on Machine Learning and Applications and Workshops

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