2009 | OriginalPaper | Buchkapitel
Geometric-Aligned Cancelable Fingerprint Templates
verfasst von : Bian Yang, Christoph Busch, Mohammad Derawi, Patrick Bours, Davrondzhon Gafurov
Erschienen in: Image Analysis and Processing – ICIAP 2009
Verlag: Springer Berlin Heidelberg
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A minutiae encryption algorithm based on geometric transformation of minutiae positions is proposed to generate cancelable fingerprint templates. A geometric transformation is used for alignment. A parameter-controlled minutiae encryption is performed within a local area to generate a cancelable minutiae template, and then all local encryption results are superimposed to form a protected template. Parameters to control the minutiae encryption are generated independent of the geometric-aligned minutiae, which ensures solid non-invertibility compared to those cancelable template generating algorithms with to-be-encrypted minutiae information as parameters.