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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-6
E. Maiorana , Dip. Elettronica Applicata, Universitá degli Studi 'Roma Tre', Via Della Vasca Navale 84, I-00146, Italy
M. Martinez-Diaz , ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, C/ Francisco Tomas y Valente 11, 28049, Spain
P. Campisi , Dip. Elettronica Applicata, Universitá degli Studi 'Roma Tre', Via Della Vasca Navale 84, I-00146, Italy
J. Ortega-Garcia , ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, C/ Francisco Tomas y Valente 11, 28049, Spain
A. Neri , Dip. Elettronica Applicata, Universitá degli Studi 'Roma Tre', Via Della Vasca Navale 84, I-00146, Italy
ABSTRACT
The security of biometric data is a very important issue in the deployment of biometric-based recognition systems. In this paper, we propose a signature-based biometric authentication system, where signal processing techniques are applied to the acquired on-line signature in order to generate protected templates, from which retrieving the original data is computationally as hard as randomly guessing them. A Hidden Markov Model (HMM)-based matching strategy is employed to compare the transformed signatures. The proposed protected authentication system generates a score as the result of the matching process, thus allowing to implement protected multibiometric recognition systems, through the application of score-fusion techniques. The experimental results show that, at the cost of only a slight performance reduction, the desired protection for the employed biometric templates can be properly achieved.
CITATION
E. Maiorana, M. Martinez-Diaz, P. Campisi, J. Ortega-Garcia, A. Neri, "Template protection for HMM-based on-line signature authentication", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-6, doi:10.1109/CVPRW.2008.4563114
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