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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Template protection for HMM-based on-line signature authentication
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
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
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, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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