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 preprocessing; (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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Gatos, B., Danatsas, D., Pratikakis, I., & Perantonis, S. J. (2005). Automatic table detection in document images. In Lecture Notes in Computer Science (Vol. 3686, pp. 609–618). Springer Verlag. https://doi.org/10.1007/11551188_67
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