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Headline and Column Segmentation in Printed Gurumukhi Script Newspapers

  • Rupinder Pal Kaur
  • Manish Kumar Jindal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 670)

Abstract

Newspapers are vital source of information, and it is very much necessary to store newspapers in digital form. To search information from digital newspapers, text should be in computer processable form. To convert any newspaper into computer processable form, first step is to detect headline and segment the headline from body text. Next step is to segment columns if multiple columns are present in any article. In this paper, we have proposed a solution to segment headline from the body text and body text into columns. Experiments are carried out on Gurumukhi script newspaper article images.

Keywords

Newspaper article Headline segmentation Column segmentation 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceGuru Nanak College for GirlsSri Muktsar SahibIndia
  2. 2.Department of Computer Science and ApplicationsPanjab University Regional CentreSri Muktsar SahibIndia

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