Feature based RDWT watermarking for multimodal biometric system

Authors:
Mayank Vatsa;Richa Singh;Afzel Noore
Affiliations:
Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA;Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA;Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA
Venue:
Image and Vision Computing
Year:
2009

Citing 15
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Abstract

This paper presents a 3-level RDWT biometric watermarking algorithm to embed the voice biometric MFC coefficients in a color face image of the same individual for increased robustness, security and accuracy. Phase congruency model is used to compute the embedding locations which preserves the facial features from being watermarked and ensures that the face recognition accuracy is not compromised. The proposed watermarking algorithm uses adaptive user-specific watermarking parameters for improved performance. Using face, voice and multimodal recognition algorithms, and statistical evaluation, we show that the proposed RDWT watermarking algorithm is robust to different frequency and geometric attacks, and provides the multimodal biometric verification accuracy of 94%.