The Polish Finger Alphabet Hand Postures Recognition Using Elastic Graph Matching

  • Joanna Marnik
Part of the Advances in Soft Computing book series (AINSC, volume 45)


In the present paper the results of applying the Elastic Graph Matching (EGM) method to classify the 23 postures occurring in Polish finger alphabet are presented. Four different classifiers were constructed. Three of them used different feature vectors to the graph’s nodes description. The forth one integrated the former three classifiers.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Brown M Z (2003) Advances in Computational Stereo. IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 25, No. 8Google Scholar
  2. 2.
    Cyganek B (2002) Komputerowe przetwarzanie obrazw trjwymiarowych. Akademicka Oficyna Wydawnicza ELIT, WarszawaGoogle Scholar
  3. 3.
    Grobel K, Hienz H (1996) Video-based recognition of fingerspelling in real time. Workshop Bildverarbeitung fr die Medizin, AachenGoogle Scholar
  4. 4.
    Hendzel J K (1995) Sownik Polskigo Jzyka Miganego. Wyd. OFFER, OlsztynGoogle Scholar
  5. 5.
    Jiangqin W, Wen G (2001) The recognition of finger-spelling for Chinese sign language. Gesture Workshop, London, 96–100.Google Scholar
  6. 6.
    Lades M, Vorbrggen J C, Buhmann J, Lange J, von der Malsburg C, Wrtz R P, W. Konen W (1993) Distortion invariant object recognition in the dynamic link architecture. IEEE Transaction on Computers, Vol. 42, 300–311CrossRefGoogle Scholar
  7. 7.
    Marnik J (2002) Rozpoznawanie znakw Polskiego Alfabetu Palcowego z wykorzystaniem morfologii matematycznej i sieci neuronowych. Rozprawa doktorska, Akademia Grniczo — Hutnicza, KrakwGoogle Scholar
  8. 8.
    Marnik J, Wysocki M (2004) Hand Posture Recognition Using Mathematical Morphology. Archiwum Informatyki Teoretycznej i Stosowanej, 16,4, 279–293Google Scholar
  9. 9.
    Triesch J, von der Malsburg C (1996) Robust classification of hand postures against complex background. Proc. of the 2nd Intl. Conf. On Automatic Face and Gesture Recognition, Killington, Vermont, 170–175Google Scholar
  10. 10.
    Triesch J, von der Malsburg C (2002) A system for person-independent hand posture recognition against complex backgrounds. IEEE Trans. Pattern Anal. Machine Intelligence, 23(12): 1449–1453CrossRefGoogle Scholar
  11. 11.
    Wiskott L, Fellous J-M, Krger N, von der Malsburg C (1995) Face recognition and genger determination. Int. Workshop on Automatic Face-and Gesture-Recognition, Zrich, 26–28Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Joanna Marnik
    • 1
  1. 1.Rzeszow University of TechnologyRzeszow

Personalised recommendations