Abstract
Security of biometric templates in a fingerprint authentication system is highly critical because the number of fingers of a person is limited and the raw fingerprints cannot be reset or replaced. A cancelable template is an efficient and powerful means to provide template protection. However, in most cancelable fingerprint templates, the many-to-one based non-invertible transformation acts on each single minutia, which may greatly decrease the discriminative capability of its feature representation, and more importantly, single minutia is more sensitive than a local structure to the non-linear distortion present in a fingerprint image. In this paper, we propose a cancelable template by utilizing some nice properties of Delaunay triangle-based local structures, e.g., excellent local structural stability, to achieve satisfactory performance. The non-invertible transformation is applied to each Delaunay triangle-based local structure rather than to each individual minutia so as to mitigate the influence of non-linear distortion and retain the discriminative power of the feature data after the many-to-one mapping. Experimental results on the publicly available databases demonstrate the validity of the proposed scheme.
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Yang, W., Hu, J., Wang, S., Yang, J. (2013). Cancelable Fingerprint Templates with Delaunay Triangle-Based Local Structures. In: Wang, G., Ray, I., Feng, D., Rajarajan, M. (eds) Cyberspace Safety and Security. CSS 2013. Lecture Notes in Computer Science, vol 8300. Springer, Cham. https://doi.org/10.1007/978-3-319-03584-0_7
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DOI: https://doi.org/10.1007/978-3-319-03584-0_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03583-3
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