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首页> 外文期刊>International journal of computer science and network security >Comparing Thinning Based Morphological operation on Sindhi Printed Dataset.
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Comparing Thinning Based Morphological operation on Sindhi Printed Dataset.

机译:在Sindhi打印数据集上比较基于细化的形态学操作。

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摘要

Thinning is an essential step in many character recognition techniques. Thinning is a process, used at a pre-processing stage for recognizing character. In this paper Z.-Suen and H-W-Lui algorithms are enhanced to Sindhi Optical Character Recognition (OCR). Using aforementioned algorithms the thinning of 4704 Sindhi characters is analyzed. The four thinning algorithm are selected and applied on Sindhi characters data set. The obtained results are analyzed based on the shape and text connectivity. The performance is measure on the basis of text connectivity, and calculating the processing time.
机译:细化是许多字符识别技术中必不可少的步骤。细化是在预处理阶段用于识别字符的过程。本文将Z.-Suen和H-W-Lui算法增强为Sindhi光学字符识别(OCR)。使用上述算法,分析了4704个Sindhi字符的稀疏性。选择了四种稀疏算法,并将其应用于信德字符数据集。根据形状和文本连接性分析获得的结果。性能是基于文本连接性并计算处理时间来衡量的。

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