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Segmentation-free word spotting using SIFT

  • Duk Ryong Lee*
  • , Wonju Hong
  • , Il Seok Oh
  • *Corresponding author for this work

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    This paper presents a method for word spotting using SIFT. The method performs well for multi-lingual document images and it works without skew correction and without any segmentation process. The algorithm for detecting words in test images is described, including the processes of detecting keypoints, matching them, and clustering matching pairs. Experiments on English and Korean document image collections showed that the proposed method is promising.

    Original languageEnglish
    Title of host publication2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings
    Pages65-68
    Number of pages4
    DOIs
    StatePublished - 2012
    Event2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012 - Santa Fe, NM, United States
    Duration: 2012.04.222012.04.24

    Publication series

    NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

    Conference

    Conference2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012
    Country/TerritoryUnited States
    CitySanta Fe, NM
    Period12.04.2212.04.24

    Keywords

    • document image retrieval
    • local descriptor
    • scale and rotation invariance

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Data Science

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