Cancellable Multi-Biometric Template Generation Based on Arnold Cat Map and Aliasing

The cancellable biometric transformations are designed to be computationally difficult obtain the original data. This paper presents a multi-biometric identification scheme that includes four stages: data collection and processing, Arnold's Cat Map encryption, decimation process reduce size, final merging of biometrics in single generated template. First, 2D matrix size 128 × is created based on (ACM). purpose this rearrangement break correlation between pixels hide patterns merge these together for more security. performed keep dimensions overall template similar those avoid redundancy. Moreover, some sort aliasing occurs due decimation, contributing intended distortion templates. hybrid structure comprises generates encrypted distorted simulation results obtained performance evaluation show system safe, reliable, feasible as it achieves high security presence noise.