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View all- Jeon SLee M(2021)Acceleration of Inner-Pairing Product Operation for Secure Biometric VerificationSensors10.3390/s2108285921:8(2859)Online publication date: 19-Apr-2021
Evaluation of the Impact of Noise on Biometric Authentication Systems
Pages 188 - 192
Abstract
Intra-class and inter-class are considered as fundamental premise of biometric authentication systems. In order to have a good recognition rate, the biometric images must be captured from favorable conditions. Biometric trait acquisition and processing can be affected by external elements that influence the treatment and the functionality of biometric authentication systems. In effect, the performance can be degraded and the security of the biometric authentication system can be also affected. There are several factors that can affect the performance and the security of biometric systems. There are several factors that can affect the performance and the security of biometric systems. In this work the impact of noise on authentication biometric systems is evaluated. Face and fingerprint images are successively noised in order to measure the impact of the noise on the fingerprint and face biometric systems. Experiment results show that the noise degradation has an important impact on the security and the performance of different biometric authentication system; the system accepts very degraded request (that can be presented by an unknown person) and reject the real user.
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October 2019
253 pages
ISBN:9781450372534
DOI:10.1145/3369114
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- Northumbria University: University of Northumbria at Newcastle
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Published: 21 January 2020
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ICAAI 2019: 2019 The 3rd International Conference on Advances in Artificial Intelligence
October 26 - 28, 2019
Istanbul, Turkey
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View all- Jeon SLee M(2021)Acceleration of Inner-Pairing Product Operation for Secure Biometric VerificationSensors10.3390/s2108285921:8(2859)Online publication date: 19-Apr-2021
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