Biometrics-Based Image Watermarking by Heartprint Signal

Biometries-based watermarking is getting attention in recent times to prevent unauthorized use of digital images. In this paper, we aim to examine the potential use of biometrics for the verification of ownership and authenticity of digital images by presenting a novel blind digital image watermarking technique. It utilizes a Siamese neural network for generating a binary key from heartprint biometrics followed by an embedding process of the bit sequence into the image in the frequency domain. The proposed method is evaluated for various attacks on the embedded image such as JPEG compression, filtering, and cropping to examine the robustness and reliability of the method. Experimental results showed that under different attacks on the watermarked image, the heartprint-based watermarking process achieved over 90% reliability while maintaining a reasonable PSNR value over 40 dB.