Abstract: The invention provides a computing device for processing fingerprint template data, wherein the computing device comprises modules configured for generating transformed fingerprint template data from original fingerprint minutiae template data, in which minutiae are represented at least by Cartesian or polar coordinates and an inherent minutiae direction, the computing device being configured to generate for each minutia of the original fingerprint minutiae data corresponding mega-vicinity data. The computing device may further comprise a comparator module being configured to compare two transformed fingerprint template data that comprises, for each minutia, mega-vicinity data of a first fingerprint and a second fingerprint. The computing device may further comprise a biometrics-secret binding module for protecting.

Abstract: Generating a distinguishing feature vector by means of a distinguishing feature extractor module from a raw biometric feature of the individual, the distinguishing feature vector being configured for differentiating individuals is carried out in a method. Further steps include generating a robust feature vector by means of a robust feature extractor module from the raw biometric feature of the individual; generating a cryptographic key from first auxiliary data based on the secret of the individual and optionally other data; using the robust feature vector together with second auxiliary data in a standard cryptographic module configured to perform a standard cryptographic function keyed by the cryptographic key; and binding the results produced by the standard cryptographic module and the distinguishing feature vector together as fused data by means of a modulo-N addition operation module, wherein N=2, 3, . . . , i.e. N is an integer greater than 1.

Abstract: The invention provides a computing device for processing fingerprint template data, wherein the computing device comprises modules configured for generating transformed fingerprint template data from original fingerprint minutiae template data, in which minutiae are represented at least by Cartesian or polar coordinates and an inherent minutiae direction, the computing device being configured to generate for each minutia of the original fingerprint minutiae data corresponding mega-vicinity data. The computing device may further comprise a comparator module being configured to compare two transformed fingerprint template data that comprises, for each minutia, mega-vicinity data of a first fingerprint and a second fingerprint. The computing device may further comprise a biometrics-secret binding module for protecting.

Abstract: The invention provides a computing device for processing fingerprint template data, wherein the computing device comprises modules configured for generating transformed fingerprint template data from original fingerprint minutiae template data, in which minutiae are represented at least by Cartesian or polar coordinates and an inherent minutiae direction, the computing device being configured to generate for each minutia of the original fingerprint minutiae data corresponding mega-vicinity data. The computing device may further comprise a comparator module being configured to compare two transformed fingerprint template data that comprises, for each minutia, mega-vicinity data of a first fingerprint and a second fingerprint. The computing device may further comprise a biometrics-secret binding module for protecting.

Abstract: The invention provides a computing device for processing fingerprint template data, wherein the computing device comprises modules configured for generating transformed fingerprint template data from original fingerprint minutiae template data, in which minutiae are represented at least by Cartesian or polar coordinates and an inherent minutiae direction, the computing device being configured to generate for each minutia of the original fingerprint minutiae data corresponding mega-vicinity data. The computing device may further comprise a comparator module being configured to compare two transformed fingerprint template data that comprises, for each minutia, mega-vicinity data of a first fingerprint and a second fingerprint. The computing device may further comprise a biometrics-secret binding module for protecting.

Abstract: The invention provides a computing device for processing fingerprint template data, wherein the computing device comprises modules configured for generating transformed fingerprint template data from original fingerprint minutiae template data, in which minutiae are represented at least by Cartesian or polar coordinates and an inherent minutiae direction, the computing device being configured to generate for each minutia of the original fingerprint minutiae data corresponding mega-vicinity data. The computing device may further comprise a comparator module being configured to compare two transformed fingerprint template data that comprises, for each minutia, mega-vicinity data of a first fingerprint and a second fingerprint. The computing device may further comprise a biometrics-secret binding module for protecting.

Abstract: Generating a distinguishing feature vector by means of a distinguishing feature extractor module from a raw biometric feature of the individual, the distinguishing feature vector being configured for differentiating individuals is carried out in a method. Further steps include generating a robust feature vector by means of a robust feature extractor module from the raw biometric feature of the individual; generating a cryptographic key from first auxiliary data based on the secret of the individual and optionally other data; using the robust feature vector together with second auxiliary data in a standard cryptographic module configured to perform a standard cryptographic function keyed by the cryptographic key; and binding the results produced by the standard cryptographic module and the distinguishing feature vector together as fused data by means of a modulo-N addition operation module, wherein N=2, 3, . . . , i.e. N is an integer greater than 1.