Abstract
In this paper, we propose the simultaneous use of cryptography and transformation functions in biometric-based identification systems aiming to increase the security level of biometric data as well as the performance of these systems. Additionally, we aim to keep a reasonable efficiency level of these data through the use of more elaborated classification structures, such as ensemble systems. With this proposal, we intend to have a robust and secure identification system using signature data.
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de L. Oliveira Filho, I., Bedregal, B.R.C., Canuto, A.M.P. (2012). An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data. In: Villa, A.E.P., Duch, W., Érdi, P., Masulli, F., Palm, G. (eds) Artificial Neural Networks and Machine Learning – ICANN 2012. ICANN 2012. Lecture Notes in Computer Science, vol 7553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33266-1_23
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DOI: https://doi.org/10.1007/978-3-642-33266-1_23
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