Text line detection in handwritten documents

  • Authors:

  • G. Louloudis;B. Gatos;I. Pratikakis;C. Halatsis

  • Affiliations:

  • Department of Informatics and Telecommunications, University of Athens, 15784 Panepistimiopolis, Llissia, Athens, Greece;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos", 153 10 Athens, Greece;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos", 153 10 Athens, Greece;Department of Informatics and Telecommunications, University of Athens, 15784 Panepistimiopolis, Llissia, Athens, Greece

  • Venue:
  • Pattern Recognition
  • Year:
  • 2008

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Abstract

In this paper, we present a new text line detection method for handwritten documents. The proposed technique is based on a strategy that consists of three distinct steps. The first step includes image binarization and enhancement, connected component extraction, partitioning of the connected component domain into three spatial sub-domains and average character height estimation. In the second step, a block-based Hough transform is used for the detection of potential text lines while a third step is used to correct possible splitting, to detect text lines that the previous step did not reveal and, finally, to separate vertically connected characters and assign them to text lines. The performance evaluation of the proposed approach is based on a consistent and concrete evaluation methodology.