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@INPROCEEDINGS{deFreitasPereira_BTAS2015_2015,
         author = {de Freitas Pereira, Tiago and Marcel, S{\'{e}}bastien},
       keywords = {authentication task, biometrics (access control), CPqD mobile biometric database, Face Recognition, mobile computing, mobile environment, MOBIO database, periocular biometrics, person recognition, security of data, session variability},
       projects = {BEAT, HFACE},
          month = sep,
          title = {Periocular Biometrics in Mobile Environment},
      booktitle = {IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems},
           year = {2015},
          pages = {1-7},
      publisher = {IEEE},
       location = {Arlington, USA},
            doi = {10.1109/BTAS.2015.7358785},
       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 5.84\% in terms of HTER.
Finally, the results of this paper will be reproducible using an open software and a novel Web platform.},
            pdf = {https://publications.idiap.ch/attachments/papers/2015/deFreitasPereira_BTAS2015_2015.pdf}
}