caa a22 4500 467884099 CHVBK 20180406152729.0 cr unu---uuuuu 170328e20060601xx s 000 0 eng 10.1007/s10032-005-0006-5 doi (NATIONALLICENCE)springer-10.1007/s10032-005-0006-5 A simple and effective table detection system from document images [Elektronische Daten] [S. Mandal, S. Chowdhury, A. Das, Bhabatosh Chanda] The requirement of detection and identification of tables from document images is crucial to any document image analysis and digital library system. In this paper we report a very simple but extremely powerful approach to detect tables present in document pages. The algorithm relies on the observation that the tables have distinct columns which implies that gaps between the fields are substantially larger than the gaps between the words in text lines. This deceptively simple observation has led to the design of a simple but powerful table detection system with low computation cost. Moreover, mathematical foundation of the approach is also established including formation of a regular expression for ease of implementation. Springer-Verlag, 2005 Table detection nationallicence Document image segmentation nationallicence Digital document library nationallicence Mandal S. CST Department, Bengal Engineering College (DU), Sibpur, Howrah aut Chowdhury S. CST Department, Bengal Engineering College (DU), Sibpur, Howrah aut Das A. CST Department, Bengal Engineering College (DU), Sibpur, Howrah aut Chanda Bhabatosh ECS Unit, Indian Statistical Unit, 700 035, Calcutta, India aut International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/2-3(2006-06-01), 172-182 1433-2833 8:2-3<172 2006 8 10032 https://doi.org/10.1007/s10032-005-0006-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-005-0006-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mandal S. CST Department, Bengal Engineering College (DU), Sibpur, Howrah aut NATIONALLICENCE 700 1- Chowdhury S. CST Department, Bengal Engineering College (DU), Sibpur, Howrah aut NATIONALLICENCE 700 1- Das A. CST Department, Bengal Engineering College (DU), Sibpur, Howrah aut NATIONALLICENCE 700 1- Chanda Bhabatosh ECS Unit, Indian Statistical Unit, 700 035, Calcutta, India aut NATIONALLICENCE 773 0- International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/2-3(2006-06-01), 172-182 1433-2833 8:2-3<172 2006 8 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer