Improved Multimodal Biometric Watermarking in Authentication Systems Based on DCT and Phase Congruency Model

This paper presents multi-modal biometric watermarking techniques for personal identification system based on DCT and Phase Congruency model. The proposal made here is an improved algorithm for embedding biometrics data (such as fingerprint image with demographic information of person) in the face image of the same individual for authentication and recognition which can be employed in E-passport and Eidentification cards. Phase congruency model is used to compute embedding locations having the low frequency on DCT coefficients of face image and Normalization correlation based on both human perceptivity and robust property is used for embedding watermark in these locations. This enhances Quality, Recognition accuracy and Robustness of both cover and watermark image with minimum computational complexity. Experimental results demonstrate that the proposed watermark technique is better robust or resilient against different type of image processing attacks.