caa a22 4500 467884145 CHVBK 20180406152729.0 cr unu---uuuuu 170328e20060601xx s 000 0 eng 10.1007/s10032-005-0008-3 doi (NATIONALLICENCE)springer-10.1007/s10032-005-0008-3 Table form document analysis based on the document structure grammar [Elektronische Daten] [Akira Amano, Naoki Asada, Masayuki Mukunoki, Masahito Aoyama] Structure analysis of table form documents is an important issue because a printed document and even an electronic document do not provide logical structural information but merely geometrical layout and lexical information. To handle these documents automatically, logical structure information is necessary. In this paper, we first analyze the elements of the form documents from a communication point of view and retrieve the grammatical elements that appear in them. Then, we present a document structure grammar which governs the logical structure of the form documents. Finally, we propose a structure analysis system of the table form documents based on the grammar. By using grammar notation, we can easily modify and keep it consistent, as the rules are relatively simple. Another advantage of using grammar notation is that it can be used for generating documents only from logical structure. In our system, documents are assumed to be composed of a set of boxes and they are classified as seven box types. Then the box relations between the indication box and its associated entry box are analyzed based on the semantic and geometric knowledge defined in the document structure grammar. Experimental results have shown that the system successfully analyzed several kinds of table forms. Springer-Verlag, 2005 Form processing nationallicence Document models nationallicence Document analysis systems nationallicence Amano Akira Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, Japan aut Asada Naoki Department of Information Sciences, Hiroshima City University, 3-4-1 Ozukahigashi, Asaminami, Hiroshima, Japan aut Mukunoki Masayuki Department of Information Sciences, Hiroshima City University, 3-4-1 Ozukahigashi, Asaminami, Hiroshima, Japan aut Aoyama Masahito Department of Information Sciences, Hiroshima City University, 3-4-1 Ozukahigashi, Asaminami, Hiroshima, Japan aut International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/2-3(2006-06-01), 201-213 1433-2833 8:2-3<201 2006 8 10032 https://doi.org/10.1007/s10032-005-0008-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-005-0008-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Amano Akira Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, Japan aut NATIONALLICENCE 700 1- Asada Naoki Department of Information Sciences, Hiroshima City University, 3-4-1 Ozukahigashi, Asaminami, Hiroshima, Japan aut NATIONALLICENCE 700 1- Mukunoki Masayuki Department of Information Sciences, Hiroshima City University, 3-4-1 Ozukahigashi, Asaminami, Hiroshima, Japan aut NATIONALLICENCE 700 1- Aoyama Masahito Department of Information Sciences, Hiroshima City University, 3-4-1 Ozukahigashi, Asaminami, Hiroshima, Japan aut NATIONALLICENCE 773 0- International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/2-3(2006-06-01), 201-213 1433-2833 8:2-3<201 2006 8 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer