標題: Integration of face and hand gesture recognition
作者: Kao, Yung-Wei
Gu, Hui-Zhen
Yuan, Shyan-Ming
資訊科學與工程研究所
Institute of Computer Science and Engineering
公開日期: 2008
摘要: 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.
URI: http://hdl.handle.net/11536/1364
http://dx.doi.org/10.1109/ICCIT.2008.74
ISBN: 978-0-7695-3407-7
DOI: 10.1109/ICCIT.2008.74
期刊: Third 2008 International Conference on Convergence and Hybrid Information Technology, Vol 1, Proceedings
起始頁: 330
結束頁: 335
Appears in Collections:Conferences Paper


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