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dc.contributor.authorKao, Yung-Weien_US
dc.contributor.authorGu, Hui-Zhenen_US
dc.contributor.authorYuan, Shyan-Mingen_US
dc.date.accessioned2014-12-08T15:02:44Z-
dc.date.available2014-12-08T15:02:44Z-
dc.date.issued2008en_US
dc.identifier.isbn978-0-7695-3407-7en_US
dc.identifier.urihttp://hdl.handle.net/11536/1364-
dc.identifier.urihttp://dx.doi.org/10.1109/ICCIT.2008.74en_US
dc.description.abstractFace 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.en_US
dc.language.isoen_USen_US
dc.titleIntegration of face and hand gesture recognitionen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/ICCIT.2008.74en_US
dc.identifier.journalThird 2008 International Conference on Convergence and Hybrid Information Technology, Vol 1, Proceedingsen_US
dc.citation.spage330en_US
dc.citation.epage335en_US
dc.contributor.department資訊科學與工程研究所zh_TW
dc.contributor.departmentInstitute of Computer Science and Engineeringen_US
dc.identifier.wosnumberWOS:000262290400055-
Appears in Collections:Conferences Paper


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