Two complementary techniques for digitized document analysis

G. Nagy, J. Kanai, M. Krishnamoorthy, Mathews Thomas, M. Viswanathan
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引用次数: 44

Abstract

Two complementary methods are proposed for characterizing the spatial structure of digitized technical documents and labelling various logical components without using optical character recognition. The top-down method segments and labels the page image simultaneously using publication-specific information in the form of a page-grammar. The bottom-up method naively segments the document into rectangles that contain individual connected components, combines blocks using knowledge about generic layout objects, and identifies logical objects using publication-specific knowledge. Both methods are based on the X-Y tree representation of a page image. The procedures are demonstrated on scanned and synthesized bit-maps of the title pages of technical articles.
数字化文档分析的两种互补技术
在不使用光学字符识别的情况下,提出了两种互补的方法来表征数字化技术文档的空间结构和标记各种逻辑组件。自顶向下方法使用页面语法形式的特定于发布的信息同时对页面图像进行分段和标记。自底向上方法天真地将文档分割成包含单个连接组件的矩形,使用关于通用布局对象的知识组合块,并使用特定于发布的知识标识逻辑对象。这两种方法都基于页面图像的X-Y树表示。在技术文章标题页的扫描和合成位图上演示了该过程。
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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