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 [BibTeX] [Marc21]
Smartphone Multi-modal Biometric Authentication: Database and Evaluation
Type of publication: Idiap-RR
Citation: Raghavendra_Idiap-RR-17-2020
Number: Idiap-RR-17-2020
Year: 2020
Month: 7
Institution: Idiap
Abstract: Biometric-based verification is widely employed on the smartphones for various applications, including financial transactions. In this work, we present a new multimodal biometric dataset (face, voice, and periocular) acquired using a smartphone. The new dataset is comprised of 150 subjects that are captured in six different sessions reflecting real-life scenarios of smartphone assisted authentication. One of the unique features of this dataset is that it is collected in four different geographic locations representing a diverse population and ethnicity. Additionally, we also present a multimodal Presentation Attack (PA) or spoofing dataset using a low-cost Presentation Attack Instrument (PAI) such as print and electronic display attacks. The novel acquisition protocols and the diversity of the data subjects collected from different geographic locations will allow developing a novel algorithm for either unimodal or multimodal biometrics. Further, we also report the performance evaluation of the baseline biometric verification and Presentation Attack Detection (PAD) on the newly collected dataset.
URL: https://arxiv.org/abs/1912.024...
Keywords: Biometrics, database, presentation attacks, Smartphones, Spoofing
Projects Idiap
Authors Raghavendra, Ramachandra
Stokkenes, Martin
Mohammadi, Amir
Venkatesh, Sushma
Raja, Kiran B.
Wasnik, Pankaj
Poiret, Eric
Marcel, S├ębastien
Busch, Christoph
Added by: [ADM]
Total mark: 0
Attachments
  • Raghavendra_Idiap-RR-17-2020.pdf (MD5: bb26663903acb3e17990fdd302097be7)
Notes