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A Segmentation-Free Recognition Technique to Assist Old Greek Handwritten Manuscript OCR

机译:一种可自由的识别技术,以帮助旧希腊手写稿件OCR

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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 hole 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 hole regions that exist in the character body. Then, the protrusions in the outer contour outline of the connected components that contain the character hole regions are used for the classification of the area around holes 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.
机译:对旧希腊稿件的认可对于快速高效的内容开发旧的希腊历史历史集合至关重要。在本文中,我们专注于识别以小写字母编写的早期基督徒希腊稿件的问题。基于这些脚本中大多数人物和角色连接中的孔区域的存在,我们提出了一种新颖,分割,快速高效的技术,可以通过追踪和识别最常出现的字符或字符的角色来帮助识别程序。首先,我们检测角色体中存在的孔区域。然后,包含特征孔区域的连接部件的外轮廓轮廓中的突起用于围绕特定字符或字符的区域的区域的分类。该方法提供了高度准确的结果,为旧希腊手写稿件OCR提供了很大的帮助。

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