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Content Based Search Engine for Historical Calligraphy Images

Author

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  • Xiafen Zhang

    (College of Information Engineering, Shanghai Maritime University, Shanghai, China)

  • Vijayan Sugumaran

    (Department of Decision and Information Sciences, Oakland University, Rochester, MI, USA)

Abstract

Paper collections of historical calligraphy objects in Libraries and museums are scanned into document images to serve the academic society. However, these digitized collections are in image format, lacking the technology to search by image content. This paper proposes a search engine for searching calligraphy image content. First, 2503 page images are segmented into characters and components. Second, characters are interactively labeled and features are extracted to build a calligraphy database. When an image search query is submitted, coarse features are first extracted and used to prune the long list of calligraphy characters into a shorter list. Then fine shape features are employed to determine the most similar characters. iDistance and NB-Tree are used to create the high dimensional index. The efficiency of the algorithm has been demonstrated through experiments with 110,737 individual calligraphic character images. This research provides a demonstration of the potential use of calligraphy content search on the web.

Suggested Citation

  • Xiafen Zhang & Vijayan Sugumaran, 2014. "Content Based Search Engine for Historical Calligraphy Images," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 10(3), pages 1-18, July.
    • Handle: RePEc:igg:jiit00:v:10:y:2014:i:3:p:1-18
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijiit.2014070101
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    Cited by:

    1. S. P. Faustina Joan & S. Valli, 0. "An enhanced text detection technique for the visually impaired to read text," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    2. S. P. Faustina Joan & S. Valli, 2017. "An enhanced text detection technique for the visually impaired to read text," Information Systems Frontiers, Springer, vol. 19(5), pages 1039-1056, October.

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