Phase only CGH and sparse separation based approach to biometric image authentication

In this manuscript, an image encryption cum authentication method is proposed. The proposed method utilizes the fingerprint-generated phase mask along with the sparse separation approach, and computer-generated hologram to encrypt the information in Fresnel domain. The Phase only computer-generated holography based authentication algorithm provides multiple benefits, including to store substantial information in compact form, improved security, and strong resistance to counterfeiting. Sparse separation is used for authentication with only thirty percent of the data. The proposed authentication algorithm is evaluated through a range of statistical metrics, including mean squared error, information entropy, correlation coefficient along with histogram, and mesh plot analysis. The results affirm that the proposed cryptosystem is secure and resilient against different types of potential threats, including iterative attacks, plaintext attacks, and contamination attacks. Proposed authentication algorithm has vast key space which makes it challenging to breach in real-time with existing computational capabilities.