Abstract:
In this work we study periocular biometrics in a challenging scenario: a mobile environment, where person recognition can take place on a mobile device. The proposed tech...Show MoreMetadata
Abstract:
In this work we study periocular biometrics in a challenging scenario: a mobile environment, where person recognition can take place on a mobile device. The proposed technique, that models session variability, is evaluated for the authentication task on the MOBIO database, previously used in face recognition, and on a novel mobile biometric database named the CPqD Biometric Database, as well as compared to prior work. We show that in this particular mobile environment the periocular region is complementary to face recognition, but not superior, unlike shown in a previous study on a more controlled environment. We show also that a combination with face recognition brings a relative improvement of 7.93% in terms of HTER. Finally, the results of this paper are reproducible using an open software and a novel Web platform.
Published in: 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)
Date of Conference: 08-11 September 2015
Date Added to IEEE Xplore: 17 December 2015
ISBN Information: