Title :
Robust classification of hand postures against complex backgrounds
Author :
Triesch, Jochen ; von der Malsburg, C.
Author_Institution :
Inst. fur Neuroinf., Syst-Biophys., Ruhr-Univ., Bochum, Germany
Abstract :
A system for the classification of hand postures against complex backgrounds in grey-level images is presented. The system employs elastic graph matching, which has already been successfully employed for the recognition of faces. Our system reaches 86.2% correct classification on our gallery of 239 images of ten postures against complex backgrounds. The system is robust with respect to certain variations in size of hand and shape of posture
Keywords :
image classification; image recognition; classification; complex backgrounds; elastic graph matching; grey-level images; hand postures; recognition of faces; Computer science; Gabor filters; Humans; Intelligent robots; Kernel; Keyboards; Neurons; Robustness; Shape; User interfaces;
Conference_Titel :
Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on
Conference_Location :
Killington, VT
Print_ISBN :
0-8186-7713-9
DOI :
10.1109/AFGR.1996.557260
