Abstract
Now many security systems depend on biometrics, these systems have suffered from hacking trials. If the biometric databases have been hacked and stolen, the biometrics saved in these databases will be lost forever. Thus, there is a desperate need to develop new cancelable biometric systems. The main concept of cancelable biometrics is to use another version of the original biometric template created through a one-way transform or an encryption scheme to keep the original biometrics safe and away from utilization in the system. In this paper, a comb filter algorithm is utilized for cancelable face and fingerprint recognition systems. The comb filter performs encryption process for faces and fingerprints to produce their cancelable patterns and compare them with any random attacked encrypted biometric. We notice that there is no any correlation between the stored biometrics and the attacked biometric at different filter order (L) values of the employed comb filter where L is tested in the cases of 6, 8, 10, and 12. Also, we calculate the evaluation matrices of the Equal Error Rate (EER), False Accept Rate (FAR), False Reject Rate (FRR), and the Area under Receiver Operating Characteristic (ROC) curves for the proposed framework.
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