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Face Recognition Lock

Authors: Lawrence Y. Deng; Dong-Liang Lee; Yi-Jen Liu;

Face Recognition Lock

Abstract

In recent years, more and more studies or industry products have conducted recognition to the physiological feature or behavioral expression which are peculiar to human body, and these techniques provide the optimum solution for the environment, which needs identity verification, access badges or high security. In this paper, by the skin color area segmentation and principal component analysis -PCA, the face images are transferred into important feature vectors as the key of encrypting the files, thus our system can judge the user's permission of assessing the files according to the different facial features of each person.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
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