2009-12-01
Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
Publication
Publication
IEEE Transactions on Information Forensics and Security , Volume 4 - Issue 4 p. 849- 866
Automatically verifying the identity of a person by means of biometrics (e.g. face and fingerprint) is an important application in our 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 of 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 medium-size establishment with some 500 persons.
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| IEEE Transactions on Information Forensics and Security | |
| Biometric Sensing and Authentication | |
| Organisation | Signals and Images |
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Poh, N., Bourlai, T., Kittler, J., Allano, L., Alonso-Fernandez, F., Ambekar, O., … Vielhauer, C. (2009). Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms. IEEE Transactions on Information Forensics and Security, 4(4), 849–866. |
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