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OALib Journal期刊
ISSN: 2333-9721
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CANCELLABLE FACE BIOMETRICS USING IMAGE BLURRING

Keywords: Face Biometrics , Cancellable Biometrics , Difference of Gaussians , Template Security , Image Blurring

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Abstract:

Face is the most visible trait of a person. With increasing use of biometrics, there is a real threat for theconventional systems using face databases, which store images of users in raw and unaltered form. If compromised notonly it is irrevocable, but can also be misused for cross-matching across different databases. So it is desirable to generaterevocable templates for the same user in different applications to prevent cross-matching and to enhance security, whilemaintaining privacy and ethics. In this paper we propose a novel method to address those issues

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