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.
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Kaur, R.P., Jindal, M.K. (2019). Headline and Column Segmentation in Printed Gurumukhi Script Newspapers. In: Panigrahi, B., Trivedi, M., Mishra, K., Tiwari, S., Singh, P. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 670. Springer, Singapore. https://doi.org/10.1007/978-981-10-8971-8_6
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DOI: https://doi.org/10.1007/978-981-10-8971-8_6
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