Recognition System to Separate Text Graphics from Indian Newspaper

  • Shantanu Jana
  • Nibaran Das
  • Ram Sarkar
  • Mita Nasipuri
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 225)


Identification of graphics from newspaper pages and then their separation from text is a challenging task. Very few works have been reported in this field. In general, newspapers are printed in low quality papers which have a tendency to change color with time. This color change generates noise that adds with time to the document. In this work we have chosen several features to distinguish graphics from text as well as tried to reduce the noise. At first minimum bounding box around each object has been identified by connected component analysis of binary image. Each object was cropped thereafter and passed through geometric feature extraction system. Then we have done two different frequency analysis of each object. Thus we have collected both spatial and frequency domain features from objects which are used for training and testing purpose using different classifiers. We have applied the techniques on Indian newspapers written in roman script and got satisfactory results over that.


Edge detection Connected component analysis Text graphics separation FFT 2D-DWT Water marking News paper segmentation 



The authors are thankful to the Center for Microprocessor Application for Training Education and Research (CMATER) and Project on Storage Retrieval and Understanding of Video for Multimedia (SRUVM) of Computer Science and Engineering Department, Jadavpur University, for providing infrastructure facilities during progress of the work. The current work reported here, has been partially funded by University with Potential for Excellence (UPE), Phase-II, UGC, Government of India.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Shantanu Jana
    • 1
  • Nibaran Das
    • 1
  • Ram Sarkar
    • 1
  • Mita Nasipuri
    • 1
  1. 1.CMATER Laboratory, Department of Computer Science and EngineeringJadavpur UniversityKolkataIndia

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