Content level access to digital library of India pages

  • Authors:
  • Praveen Krishnan;Ravi Shekhar;C. V. Jawahar

  • Affiliations:
  • IIIT Hyderabad, India;IIIT Hyderabad, India;IIIT Hyderabad, India

  • Venue:
  • Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
  • Year:
  • 2012

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Abstract

In this paper, we propose a framework for content level access to the scanned pages of Digital Library of India (DLI). The current Optical Character Recognition (OCR) systems are not robust and reliable enough for generating accurate text from DLI pages. We propose a search scheme which fuses noisy OCR output and holistic visual features for content level access to the DLI pages. Visual content is captured using Bag of Visual Words (BoVW) approach. We show that our fusion scheme improves over the individual methods in terms of mean Average Precision (mAP) and mean precision at 10 (mPrec@10). We exploit the fact that OCR has a high precision while BoVW has a high recall. We use a modified edit distance to improve the order of results ranked by BoVW. Experiments are carried out on large datasets of DLI pages in Hindi and Telugu languages. We validate our method on more than 10,000 pages and 4 Million words, and report a mAP of around 0.8 and mPrec@10 of more than 0.9. We show improvements over BoVW by introducing query expansion. We also demonstrate a textual query interface for the search system.