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Identification of scripts and orientations of degraded document images

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Abstract

Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation.

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Authors and Affiliations

  1. Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore, 138632, Singapore

    Shijian Lu

  2. School of Computing, National University of Singapore, Computing 1, Law Link, Singapore, 117590, Singapore

    Linlin Li & Chew Lim Tan

Authors
  1. Shijian Lu
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  2. Linlin Li
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  3. Chew Lim Tan
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Correspondence to Shijian Lu.

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Lu, S., Li, L. & Tan, C.L. Identification of scripts and orientations of degraded document images. Pattern Anal Applic 13, 469–475 (2010). https://doi.org/10.1007/s10044-009-0169-7

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  • DOI: https://doi.org/10.1007/s10044-009-0169-7

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