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Combining Statistical Measures to Find Image Text Regions

  • Paul Clark
  • , A Sanfeliu
  • , Majid Mirmehdi
  • , J J Villanueva
  • , M Vanrell
  • , R Alquezar
  • , J-O Eklundh
  • , Y Aloimonos

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    Abstract

    We present a method based on statistical properties of local image pixels for focussing attention on regions of text in arbitrary scenes where the text plane is not necessarily fronto-parallel to the camera. This is particularly useful for Desktop or Wearable Computing applications. The statistical measures are cho sen to reveal charactersitic properties of text. We combine a number of localised measures using a neural network to classify each pixel as text or non-text. We demonstrate our results on typical images.
    Translated title of the contributionCombining Statistical Measures to Find Image Text Regions
    Original languageEnglish
    Pages (from-to)450-453
    JournalProceedings of the 15th International Conference on Pattern Recognition
    Publication statusPublished - 2000

    Bibliographical note

    ISBN: 0796507506
    Publisher: IEEE Computer Society
    Name and Venue of Conference: Proceedings of the 15th International Conference on Pattern Recognition
    Other identifier: 1000508

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