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Enhancement and Retrieval of Historic Inscription Images

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Computer Vision - ACCV 2014 Workshops (ACCV 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9009))

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Abstract

In this paper we have presented a technique for enhancement and retrieval of historic inscription images. Inscription images in general have no distinction between the text layer and background layer due to absence of color difference and possess highly correlated signals and noise; pertaining to which retrieval of such images using search based on feature matching returns inaccurate results. Hence, there is a need to first enhance the readability and then binarize the images to create a digital database for retrieval. Our technique provides a suitable method for the same, by separating the text layer from the non-text layer using the proposed cumulants based Blind Source Extraction(BSE) method, and store them in a digital library with their corresponding historic information. These images are retrieved from database using image search based on Bag-of-Words(BoW) method.

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Authors and Affiliations

  1. Delhi Technological University, New Delhi, India

    S. Indu, Ayush Tomar & Aman Raj

  2. Indian Institute of Technology, New Delhi, India

    Santanu Chaudhury

Authors
  1. S. Indu
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  2. Ayush Tomar
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  3. Aman Raj
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  4. Santanu Chaudhury
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Corresponding author

Correspondence to S. Indu .

Editor information

Editors and Affiliations

  1. Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India

    C.V. Jawahar

  2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

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Indu, S., Tomar, A., Raj, A., Chaudhury, S. (2015). Enhancement and Retrieval of Historic Inscription Images. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9009. Springer, Cham. https://doi.org/10.1007/978-3-319-16631-5_39

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  • DOI: https://doi.org/10.1007/978-3-319-16631-5_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16630-8

  • Online ISBN: 978-3-319-16631-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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