DocumentCode :
3493367
Title :
Integration of Face and Hand Gesture Recognition
Author :
Kao, Yung-Wei ; Gu, Hui-Zhen ; Yuan, Shyan-Ming
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Chiao Tung Univ., Hsinchu
Volume :
1
fYear :
2008
fDate :
11-13 Nov. 2008
Firstpage :
330
Lastpage :
335
Abstract :
Face recognition and hand gesture recognition technologies have been developed separately for many years. Usually they are treated as independent systems. In this paper, we integrate the face and hand gesture recognition. We claim that the face recognition rate can be improved by hand gesture recognition. Also, we propose a security elevator scenario. Finally, we simulate this security elevator scenario by PCA method, based on the ORL database, and show that the face recognition rate and overall accuracy is improved after integration. We believe that this is a general method to integrate two recognition engines, not only for face and hand gesture recognition.
Keywords :
face recognition; gesture recognition; principal component analysis; ORL database; PCA method; face recognition; hand gesture recognition; security elevator scenario; Artificial neural networks; Computer science; Data security; Elevators; Engines; Face recognition; Hidden Markov models; Pattern recognition; Principal component analysis; Space technology; face recognition; hand gesture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
Type :
conf
DOI :
10.1109/ICCIT.2008.74
Filename :
4682047
Link To Document :
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