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A generalised framework for script identification

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Abstract

Automatic identification of a script in a given document image facilitates many important applications such as automatic archiving of multilingual documents, searching online archives of document images and for the selection of script-specific OCR in a multi-lingual environment. In this paper, we model script identification as a texture classification problem and examine a global approach inspired by human visual perception. A generalised, hierarchical framework is proposed for script identification. A set of energy and intensity space features for this task is also presented. The framework serves to establish the utility of a global approach to the classification of scripts. The framework has been tested on two datasets: 10 Indian and 13 world scripts. The obtained accuracy of identification across the two datasets is above 94%. The results demonstrate that the framework can be used to develop solutions for script identification from document images across a large set of script classes.

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Authors and Affiliations

  1. Centre for Visual Information Technology, International Institute of Information Technology, Gachibowli, Hyderabad, 500 032, Andhra Pradesh, India

    Gopal Datt Joshi, Saurabh Garg & Jayanthi Sivaswamy

Authors
  1. Gopal Datt Joshi
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  2. Saurabh Garg
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  3. Jayanthi Sivaswamy
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Correspondence to Gopal Datt Joshi.

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Joshi, G.D., Garg, S. & Sivaswamy, J. A generalised framework for script identification. IJDAR 10, 55–68 (2007). https://doi.org/10.1007/s10032-007-0043-3

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  • DOI: https://doi.org/10.1007/s10032-007-0043-3

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