A Formal Approach to Textons and Its Application to Font Style Detection

  • A. Schreyer
  • P. Suda
  • G. Maderlechner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1655)

Abstract

In this paper we present a formal approach to Document Analysis based on the notions of textons and texture. This theoretical framework is then used to define texture-based font style classifiers. Tests on scanned document pages indicate good performance of the classifiers.

Keywords

Similarity Relation Formal Approach Document Image Left Border Neighborhood Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Reference

  1. 1.
    D. S. Bloomberg: Multiresolution Morphological Approach to Document Image Analysis, Proc. ICDAR, Saint-Malo, 1991, pp. 963–971Google Scholar
  2. 2.
    B. B. Chaudhuri, U. Garain: Automatic Detection of Italic, Bold an All-Capital Words in Document Images, Proc. ICPR, Brisbane, 1998, pp. 610–612Google Scholar
  3. 3.
    D. Doermann, A. Rosenfeld, E. Revlin: The Function of Documents, Proc. ICDAR, Ulm, 1997, pp. 1077–108Google Scholar
  4. 4.
    D. Dori, D. Doermann, C. Shin, R. Haralick, I. Phillips, M. Buchmann, D. Ross: The Representation of Document Structure: A Generic Object-Process Analysis in P.S. P. Wang and H. Bunke (editors): Handbook on Optical Character Recognition and Document Image Analysis, 1996Google Scholar
  5. 5.
    B. Julesz, J. R. Bergen: Textons: The Fundamental Elements in Preattentive Vision and Perception of Textures, The Bell System Technical Journal, Vol. 62, No. 6, 1983, pp. 1619–1645Google Scholar
  6. 6.
    S. Khoubyari, J. J. Hull: Font and Function Word Identification in Document Recognition, Computer Vision and Image Understanding, Vol. 63, No. 1, 1996, pp. 66–74CrossRefGoogle Scholar
  7. 7.
    T. S. Klitz, J. S. Mansfield, G. E. Legge: Font "Pop Out" in Text Images, OSA Annual Meeting Technical Digest, 23, 1992, pp. 170Google Scholar
  8. 8.
    A. Schreyer, P. Suda, G. Maderlechner: The Idea of Attention-Based Document Analysis, Proc. DAS, Nagano, 1998Google Scholar
  9. 9.
    UW-III English/Technical Document Image Database, CD-ROM, University of Washington, 1996Google Scholar
  10. 10.
    R. Watt: The Visual Analysis of Pages of Text in R. Sassoon: Computers and Typography, Intellect Books, Oxford, 1993, pp. 179–201Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • A. Schreyer
    • 1
  • P. Suda
    • 1
  • G. Maderlechner
    • 2
  1. 1.University of Technology MunichInstitute for Human-Machine-CommunicationMunichGermany
  2. 2.Siemens AGCorporate TechnologyMunichGermany

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