A Hybrid Watermarking System for Securing Multi-modal Biometric Using Honey Encryption and Grasshopper Optimization Technique

Abstract

Digital watermarking is one of the major information hiding techniques for hiding biometrics. The majority of research focuses onto the development of a reliable robust watermarking system. A multi-modal biometrics fingerprint and iris are being used. The biometrics is fused using gradient pyramid technique. The fused template is encrypted using honey encryption. The major intend of this paper is to develop a high secured, robust and reliable watermarking system using some conventional methods fused with an optimization technique namely grasshopper optimization technique (GOA). Many researchers have failed to maintain the two important factors imperceptibility and robustness that define the strength of the watermarking system. The two predominant factors are attained through the proposed algorithm DWTSVDGOA. The imperceptibility and the robustness are measured using some performance measures. The experimental results show that the proposed algorithm DWTSVDGOA gives a NC value as 1, PSNR as 90.75 and SSIM as 0.99. The performance and the evaluation of the technique are found to be more better than existing image watermarking techniques.