Asymmetric healthcare biometric image encryption and watermarking technique using QZ synthesis and QRD algorithm.

The research paper introduces an advanced asymmetric biometric image encryption technique that integrates Quasi-Zernike synthesis (QZS), QR algorithm, and hybrid transforms for enhanced security and integrity. The encryption process incorporates QR decomposition, generating an orthogonal matrix Q that adds obfuscation and randomness to the image representation. QR is also resilient to attacks that exploit vulnerabilities in PTFT-based cryptosystems. QZS further improves security by capturing spatial information and complex features. The use of the compressed sparse row (CSR) format enables efficient storage and secure transmission. This integration provides a robust solution for confidential, secure image communication, applicable in military, surveillance, and sensitive data transfer scenarios. Moreover, watermarking ensures protection from unauthorized access, strengthening security measures. Experimental evaluations demonstrate the proposed algorithm's robustness against common attacks, including noise addition, compression, and filtering. The results showcase high-quality image reconstruction, negligible information loss, affirming the scheme's effectiveness in achieving secure image encryption. [ABSTRACT FROM AUTHOR]