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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Neurocomputingarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Neurocomputing
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2013
Data sources: DBLP
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Consent biometrics

Authors: Kai Yang 0009; Eliza Yingzi Du; Zhi Zhou 0001;

Consent biometrics

Abstract

Biometrics identifies/verifies a person using his/her physiological or behavioral characteristics. It is becoming an important ally for law enforcement and homeland security. However, there are some safety and privacy concerns: biometrics guarded system can be accessed when users are under threaten, reluctant or even unconscious states. In this paper, we propose a new concept, consent biometrics, which incorporates a consent signature based on human behavioral information. The proposed consent biometrics allows users to register their consent signature. When performing identification, the consent biometrics system will measure whether users consent to access the biometric system as well as perform biometrics identity match. In this way, the consent biometrics system can enhance the security, protect users from unauthorized access to the biometric system and discourage criminals to harm/threaten biometric users to some extent. We also propose two schemes that can realize the consent biometrics idea, and present example designs using face recognition and iris recognition as examples of these two schemes, respectively. The experimental results show that consent biometrics cannot only detect the willingness of users, but also achieve high recognition accuracy.

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
4
Average
Average
Average
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