DocumentCode
2085831
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
fYear
1996
fDate
14-16 Oct 1996
Firstpage
170
Lastpage
175
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/AFGR.1996.557260
Filename
557260
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