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ICAPR
2005
Springer

Automatic Table Detection in Document Images

10 years 4 months ago
Automatic Table Detection in Document Images
Abstract. In this paper, we propose a novel technique for automatic table detection in document images. Lines and tables are among the most frequent graphic, non-textual entities in documents and their detection is directly related to the OCR performance as well as to the document layout description. We propose a workflow for table detection that comprises three distinct steps: (i) image pre-processing; (ii) horizontal and vertical line detection and (iii) table detection. The efficiency of the proposed method is demonstrated by using a performance evaluation scheme which considers a great variety of documents such as forms, newspapers/magazines, scientific journals, tickets/bank cheques, certificates and handwritten documents.
Basilios Gatos, Dimitrios Danatsas, Ioannis Pratik
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICAPR
Authors Basilios Gatos, Dimitrios Danatsas, Ioannis Pratikakis, Stavros J. Perantonis
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