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An efficient segmentation-free approach to assist old Greek handwritten manuscript OCR

机译:一种有效的无分段方法来辅助古希腊手写手稿OCR

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摘要

Recognition of old Greek manuscripts is essential for quick and efficient content exploitation of the valuable old Greek historical collections. In this paper, we focus on the problem of recognizing early Christian Greek manuscripts written in lower case letters. Based on the existence of closed cavity regions in the majority of characters and character ligatures in these scripts, we propose a novel, segmentation-free, fast and efficient technique that assists the recognition procedure by tracing and recognizing the most frequently appearing characters or character ligatures. First, we detect closed cavities that exist in the character body. Then, the protrusions in the outer contour outline of the connected components that contain the character closed cavities are used for the classification of the area around closed cavities to a specific character or a character ligature. The proposed method gives highly accurate results and offers great assistance to old Greek handwritten manuscript OCR. We also provide additional OCR applications that not only prove the robustness of the proposed method but also demonstrate its generic flavor in case segmentation and text location tasks are very difficult to perform.
机译:识别古希腊手稿对于快速有效地利用有价值的古希腊历史收藏品至关重要。在本文中,我们着重于识别用小写字母书写的早期基督教希腊手稿的问题。基于这些脚本中大多数字符和字符连字的闭合腔区域的存在,我们提出了一种新颖,无分割,快速且有效的技术,该技术通过跟踪和识别最频繁出现的字符或字符连字来辅助识别过程。首先,我们检测角色体内存在的封闭洞。然后,将包含字符封闭腔的连接组件的外轮廓轮廓中的突起用于将封闭腔周围的区域分类为特定字符或字符连字。所提出的方法给出了非常准确的结果,并为古希腊手写稿OCR提供了很大的帮助。我们还提供其他OCR应用程序,这些应用程序不仅证明了所提出方法的鲁棒性,而且还展示了在很难执行分段和文本定位任务的情况下的通用风格。

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