Integration of face and hand gesture recognition

Yung Wei Kao, Hui Zhen Gu, Shyan-Ming Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

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.

Original languageEnglish
Title of host publication3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
PublisherIEEE
Pages330-335
Number of pages6
ISBN (Print)9780769534077
DOIs
StatePublished - 2008
Event3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008 - Busan, Korea, Republic of
Duration: 11 Nov 200813 Nov 2008

Publication series

NameProceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Volume1

Conference

Conference3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Country/TerritoryKorea, Republic of
CityBusan
Period11/11/0813/11/08

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