The T-Recs Table Recognition and Analysis System
Identifieur interne : 002041 ( Main/Merge ); précédent : 002040; suivant : 002042The T-Recs Table Recognition and Analysis System
Auteurs : Thomas Kieninger [Allemagne] ; Andreas Dengel [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1999.
Abstract
Abstract: This paper presents a new approach to table structure recognition as well as to layout analysis. The discussed recognition process differs significantly from existing approaches as it realizes a bottom-up clustering of given word segments, whereas conventional table structure recognizers all rely on the detection of some separators such as delineation or significant white space to analyze a page from the top-down. The following analysis of the recognized layout elements is based on the construction of a tile structure and detects row- and/or column spanning cells as well as sparse tables with a high degree of confidence. The overall system is completely domain independent, optionally neglects textual contents and can thus be applied to arbitrary mixed-mode documents (with or without tables) of any language and even operates on low quality OCR documents (e.g. facsimiles).
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DOI: 10.1007/3-540-48172-9_21
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