Text Lines and Snippets Extraction for 19th Century Handwriting Documents Layout Analysis
Text Lines and Snippets Extraction for 19th Century Handwriting Documents Layout Analysis
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19 世纪手写文档布局分析的文本行和片段提取
DOI：
10.1109/icdar.2009.199
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Philippe Régnier
中科院分区：
文献类型：
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作者：
Vincent Malleron;V. Eglin;H. Emptoz;Stéphanie Dord;Philippe Régnier
本文提出了一种新的方法来改进电子版的人文科学语料库，提供一个有效的估计手稿的页面结构。在任何手写文档分析过程中，文本行分割都是一个重要的阶段。在不受约束的古代19世纪手写文档中，存在可变的行间距、不恒定的基线倾斜、重叠和遮挡，使得文本行分割任务变得复杂。在本文中，我们只使用作为脚本的先验知识的事实，文本行倾斜可以是随机的和不规则的。在这种情况下，我们模型的文本行检测作为一个图像分割问题，通过增强文本行结构，使用Hough变换和连接组件的聚类，使文本行边界出现。所提出的网页布局分析的片段分解方法的第一步是在五个视觉和遗传分类法中对内容页面进行分类，第二步是文本行提取和片段分解。实验表明，该方法在福楼拜手稿（“Dossiers documentaires de布瓦尔et Pécuchet”，1872-1880）的数字化语料库中，对规则和半规则手写页面的文本行检测具有较高的准确率。
In this paper we propose a new approach to improve electronic editions of human science corpus, providing an efficient estimation of manuscripts pages structure. In any handwriting documents analysis process, the text line segmentation is an important stage. The presence of variable inter-line spaces, of inconstant base-line skews, overlapping and occlusions in unconstrained ancient 19th handwritten documents complexifies the text lines segmentation task. In this paper, we only use as prior knowledge of script the fact that text lines skews can be random and irregular.In that context, we model text line detection as an image segmentation problem by enhancing text line structure using Hough transform and a clustering of connected components so as to make text line boundaries appear. The proposed approach of snippets decomposition for page layout analysislies on a first step of content pages classification in five visual and genetic taxonomies, and a second step of text line extraction and snippets decomposition. Experiments show that the proposed method achieves high accuracy for detecting text lines in regular and semi-regular handwritten pages in the corpus of digitized Flaubert manuscripts (”Dossiers documentaires de Bouvard et Pécuchet”, 1872-1880).