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Text Line Segmentation In Handwritten Documents Based On Dynamic Weights

Author

Listed:
  • Costin-Anton Boiangiu

    (”Politehnica” University of Bucharest Romania)

  • Mihai Cristian Tanase

    (VirtualMetrix Design Romania)

  • Radu Ioanitescu

    (European Pattent Office (EPO) Germany)

Abstract

Identification of text lines in documents, or text line segmentation, represents the first step in the process called ‘Text recognition”, whose purpose is to extract the text and put it in a more understandable format. The paper proposes a seam carving algorithm as an approach to find the text lines. This algorithm uses a new method that allocates dynamic weights for every processed pixel in the original image. With this addition, the resulting lines follow the text more accurately. The downside of this technique is the computational time overhead.

Suggested Citation

  • Costin-Anton Boiangiu & Mihai Cristian Tanase & Radu Ioanitescu, 2013. "Text Line Segmentation In Handwritten Documents Based On Dynamic Weights," Romanian Economic Business Review, Romanian-American University, vol. 7(2), pages 247-254, December.
    • Handle: RePEc:rau:journl:v:7:y:2013:i:2:p:247-254
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI13/JISOM-WI13-A5.pdf
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    Citations

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    Cited by:

    1. Alexandra Ghecenco, 2014. "Principles Of Image Deblurring," Romanian Economic Business Review, Romanian-American University, vol. 8(2), pages 488-497, December.
    2. Costin-Anton Boiangiu & Radu Ioanitescu & Razvan-Costin Dragomir, 2016. "Voting-Based Ocr System," Romanian Economic Business Review, Romanian-American University, vol. 10(2), pages 470-486, December.

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