Abstract
In this paper, we investigate the use of genetic algorithms and ensemble systems in cancellable biometrics, using fingerprint-based identification to illustrate the possible benefits accruing. The main aim is to analyze the performance of these well-established structures on transformed biometric data to determine whether they have a positive effect on the performance of this complex and difficult task. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Canuto, A., Fairhurst, M., Santana, L. E. A., Pintro, F., & Neto, A. F. (2010). Ensemble-based methods for cancellable biometrics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6352 LNCS, pp. 411–414). https://doi.org/10.1007/978-3-642-15819-3_55
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