A New Additive Watermarking Technique for Multimodal Biometric Identification
Asad Javed, Muhammad Fasihullah, Muhammad Akhtar Munir, Imran Usman, Muhammad Farhan Shafique, Tariq Bashir, Mehmood Ashraf Khan · 2013
This paper presents a new additive watermarking technique for multimodal biometric identification systems comprising four-tier security and repetitive coding based enhanced robustness. In the proposed technique, frontal face information is embedded as a watermark in fingerprint image; the fingerprint features information is then embedded in the iris image of the same individual. This provides availability of features of one modality in other modalities. Thus, providing an additional layer of security, whereby, the host images are used for verification and cross authentication of the individuals in order to secure biometric data. The hidden data are easily and accurately extracted from host images using predefined secret key available in the decoder. The proposed method is robust, viable in biometric systems, and is resistant to common signal processing attacks.