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Robust metrics for evaluating arabic OCR systems

机译:评估阿拉伯OCR系统的可靠指标

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摘要

Evaluating OCR software is an important task to test the accuracy and to compare the strengths and weaknesses of distinct OCR systems. Research in the past has been done to compare the performance of OCR systems, all metrics used before dependent only on the character accuracy. This paper introduces word-based accuracy as well as character accuracy metrics to evaluate and to compare the performance of Arabic OCR systems. Different types of real scanned images such as newspapers, books, and journals image samples are used. The experimental results proved that such metrics are useful for evaluation of Arabic OCR systems and for Arabic text retrieval applications.
机译:评估OCR软件是一项重要任务,它需要测试准确性并比较不同OCR系统的优缺点。过去已经进行了比较OCR系统性能的研究,以前使用的所有度量标准仅取决于字符精度。本文介绍了基于单词的准确性以及字符准确性指标,以评估和比较阿拉伯OCR系统的性能。使用了不同类型的真实扫描图像,例如报纸,书籍和期刊图像样本。实验结果证明,这种度量标准对于评估阿拉伯OCR系统和阿拉伯文本检索应用很有用。

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