光学字符识别的阈值算法性能评价

Proceedings of the Fourth International Conference on Document Analysis and Recognition Pub Date : 1997-08-18 DOI:10.1109/ICDAR.1997.620597

A. T. Abak, U. Baris, B. Sankur

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引用次数: 60

摘要

本文介绍了阈值算法在文档分析和字符识别系统中的性能评价。在原始字符位图的基础上，比较评价了几种阈值分割算法。使用不同的距离度量，如Hausdorff、Jaccard和Yule来度量阈值位图与字符原始位图之间的相似度。

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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The performance evaluation of thresholding algorithms for optical character recognition

The paper presents performance evaluation of thresholding algorithms in the context of document analysis and character recognition systems. Several thresholding algorithms are comparatively evaluated on the basis of the original bitmaps of characters. Different distance measures such as Hausdorff, Jaccard, and Yule are used to measure the similarity between thresholded bitmaps and original bitmaps of characters.

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Proceedings of the Fourth International Conference on Document Analysis and Recognition

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