Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms N. Poh, T. Bourlai, J. Kittler, L. Allano, F. Alonso-Fernandez, O. Ambekar, J. Baker, B. Dorizzi, O. Fatukasi, J. Fierrez, H. Ganster, J. Ortega-Garcia, D. Maurer, A. A. Salah, T. Scheidat, C. Vielhauer In IEEE Transactions on Information Forensics and Security 2009. [bibtex] [url]

Automatically verifying the identity of a person by means of biometrics (e.g., face and fingerprint) is an important application in our day-to-day activities such as accessing banking services and security control in airports. To increase the system reliability, several biometric devices are often used. Such a combined system is known as a multimodal biometric system. This paper reports a benchmarking study carried out within the framework the Biosecure DS2 (Access Control) evaluation campaign organized by the University of Surrey, involving face, fingerprint and iris biometrics for person authentication, targeting the application of physical access control in a mediumsize establishment with some 500 persons...

@Article{PohTIFS2009,
  author       = "Poh, N. and Bourlai, T. and Kittler, J. and Allano, L.
                  and Alonso-Fernandez, F. and Ambekar, O. and Baker, J. and Dorizzi, B.
                  and Fatukasi, O. and Fierrez, J. and Ganster, H. and Ortega-Garcia, J.
                  and Maurer, D. and Salah, A. A. and Scheidat, T. and Vielhauer, C.",
  title        = "Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms",
  journal      = "IEEE Transactions on Information Forensics and Security",
  number       = "4",
  volume       = "4",
  pages        = "849--866",
  year         = "2009",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2009/PohTIFS2009",
  has_image    = 1
}