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.

• Type: Conference
• Year: 2005
• Where: ICAPR
• Authors: Basilios Gatos, Dimitrios Danatsas, Ioannis Pratikakis, Stavros J. Perantonis
• Keywords: Automatic Table Detection, Documents, ICAPR 2005, Table Detection