Multimodal Biometric Authentication in IoT: Single Camera Case Study

Maček, Nemanja and Franc, Igor and Bogdanoski, Mitko and Mirković, Aleksandar (2016) Multimodal Biometric Authentication in IoT: Single Camera Case Study. In: 8th International Conference on Business Information Security (BISEC’2016), 15 Oct 2016, Belgrade, Serbia.

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This paper presents an approach to multimodal biometric authentication using face and iris biometric traits. Having in mind that variety of devices, such as laptops, smartphones and tablets have a high quality camera built in, it is possible to obtain images of iris and face simultaneously. By combining geometric and photometric techniques, such as fiducial point localization and Gabor filtering, features are extracted and biometric templates are generated. Generated templates are further used to identify and authenticate the user on any device which he is allowed to use, thus replacing the standard username – password authentication scheme with a single camera shot.

Item Type: Conference or Workshop Item (Paper)
Subjects: Natural sciences > Computer and information sciences
Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Engineering and Technology > Other engineering and technologies
Divisions: Military Academy
Depositing User: Mitko Bogdanoski
Date Deposited: 27 Oct 2016 08:31
Last Modified: 27 Oct 2016 08:31

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