Enhancing the performance of multimodal automated border control systems
Contributo in Atti di convegno
Data di Pubblicazione:
2016
Citazione:
Enhancing the performance of multimodal automated border control systems / A. Anand, R. Donida Labati, A. Genovese, E. Munoz Ballester, V. Piuri, F. Scotti, G. Sforza (GI-EDITION). - In: Biometrics Special Interest Group (BIOSIG)[s.l] : IEEE, 2016 Nov 07. - ISBN 9783885796541. - pp. 1-5 (( convegno BIOSIG International Conference of the Biometrics Special Interest Group : September, 21st - 23rd tenutosi a Darmstadt nel 2016 [10.1109/BIOSIG.2016.7736922].
Abstract:
Biometric recognition in Automated Border Control (ABC) systems is performed in response to an increased worldwide traffic, by automatically verifying the identity of the passenger during border crossing. Currently, ABC systems seldom use methods for multimodal biometric fusion, which have been proved to increase the recognition accuracy, due to technological and privacy limitations. This paper proposes a framework for the biometric fusion in ABC systems, with the features of being technology-neutral and privacy- compliant, by performing an analysis of the most suitable biometric fusion techniques for ABC systems and considering the current technical and legal limitations.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
fusion
Elenco autori:
A. Anand, R. Donida Labati, A. Genovese, E. Munoz Ballester, V. Piuri, F. Scotti, G. Sforza
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
Biometrics Special Interest Group (BIOSIG)