Fingerprint image encryption using phase retrieval algorithm in gyrator wavelet transform domain using QR decomposition

In this paper, we propose a novel optical asymmetric fingerprint image encryption technique that uses QR decomposition in gyrator wavelet transform domain. A fingerprint image is bonded with a phase mask generated with Gerchberg-Saxton phase retrieval algorithm, which is gyrator wavelet transformed. This output is further applied to QR decomposition scheme and different keys are generated through it. The process is iterated to enhance the level of security. A Haar wavelet has been used in the study. Different phase images, gyrator transform orders and the parameters of the wavelet help achieve imperceptibility and robustness. The asymmetric keys make the system attack free like Brute force attack, known plain text attack, and special attack. Numerical simulations carried out on a MATLAB platform demonstrate the security, privacy, and validity of the proposed encryption scheme.

Automated summary

In this paper, a novel optical asymmetric fingerprint image encryption technique is proposed using QR decomposition in the gyrator wavelet transform domain. The fingerprint image is combined with a phase mask generated by the Gerchberg-Saxton phase retrieval algorithm, which is then gyrator wavelet transformed. The output is further processed with QR decomposition to generate different keys, enhancing the security level. The proposed encryption scheme demonstrates security, privacy, and validity through numerical simulations on a MATLAB platform.