ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

Technical Program

Paper Detail

Paper:WA-P6.4
Session:Biometrics
Time:Wednesday, October 11, 09:40 - 12:20
Presentation: Poster
Title: A NEW TECHNIQUE FOR HAND GESTURE RECOGNITION
Authors: Ekaterini Stergiopoulou; Democritus University of Thrace 
 Nikos Papamarkos; Democritus University of Thrace 
Abstract: A new method for hand gesture recognition is proposed which is based on an innovative Self-Growing and Self-Organized Neural Gas (SGONG) network. Initially, the region of the hand is detected by using a color segmentation technique that depends on a skin-color distribution map. Then, the SGONG network is applied on the segmented hand so as to approach its topology. Based on the output grid of neurons, palm geometric characteristics are obtained which in accordance with powerful finger features allow the identification of the raised fingers. Finally, the hand gesture recognition is accomplished through a probability-based classification method.