Adaptive Multi-model Biometric Fusion for Digital Watermarking
In this work we propose to embed a fused biometric feature vector as a watermark into the sample image in spatial domain based on the fusion parameter (for embedding the watermark) which is chosen adaptively by using the structural similarity measure. Further the watermark is extracted from the subject image and verified with a considerably good accuracy. The results are demonstrated with substantial qualitative and quantitative measures to endorse on the effectiveness and efficiency of the proposed method.
Keywords: Steganography, Structural similarity measure (SSIM), Adaptive Embedding Function, Spatial Domain Watermarking
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