Multi-algorithmic fingerprint model for cancellable template generation

Abstract

In this paper we present a multi-algorithmic biometric system comprising the fingerprint biometrics to tackle highly uncertain databases. Two methods were proposed namely, spiral-based method and block-based method to generate cancellable fingerprint templates. Spiral-based method can be used to exploit elements in each contiguous right angled triangle, that are drawn using the invariant distances between reference minutia to every other minutia. In the block-based method, fingerprint image can be tessellated into blocks to get a set of features by considering Euclidean distance from each minutia in reference block to other minutia in blocks which are horizontal, vertical, and diagonal in direction to reference block, and orientation of minutiae. Two biometric methods are fused at score level based on Yager's triangular norm. The experimental evaluations and analysis are performed using the FVC2002 databases. The results show better performance and separation between genuine and imposter distributions.