Document layout analysis

In <a href="/facts/Computer_vision/Tl2Yyk66">computer vision</a> or <a href="/facts/Natural_language_processing/1hjMKsSN">natural language processing</a>, document layout analysis is the process of identifying and categorizing the <a href="/facts/Region_of_interest/C8k58oC5">regions of interest</a> in the <a href="/facts/Image_scanner/7DEJFTwx">scanned</a> image of a text document. A reading system requires the segmentation of text zones from non-textual ones and the arrangement in their correct reading order. Detection and labeling of the different zones (or blocks) as <a href="/facts/Typography/byx4sANl">text</a> body, <a href="/facts/Illustration/dIDdBnUo">illustrations</a>, <a href="/facts/Mathematical_notation/vHgEE8cE">math symbols</a>, and tables embedded in a document is called geometric layout analysis. But text zones play different logical roles inside the document (titles, captions, footnotes, etc.) and this kind of semantic labeling is the scope of the logical layout analysis.
Document layout analysis is the union of geometric and logical labeling. It is typically performed before a document image is sent to an <a href="/facts/Optical_character_recognition/kdTyxa1l">OCR</a> engine, but it can be used also to detect duplicate copies of the same document in large archives, or to index documents by their structure or pictorial content.
Document layout is formally defined in the international standard <a href="/facts/International_Organization_for_Standardization/IacYR7Yg">ISO</a> <a href="/facts/Open_Document_Architecture/aqlfLeLc">8613-1:1989</a>.

Document layout analysis open-in-new

Document layout analysis