Abstract
This paper provides a multimodal biometric watermarking algorithm to protect and well authenticate biometric data. It uses the DTCWT-DCT as a combination of two domain transform techniques to fuse face and fingerprint modalities. Two pseudorandom sequences are used to embed the bits of the quantized spectral minutiae representation used as a watermark into the face image. The embedding is done only in high-frequency sub-bands of the DTCWT decomposition, after applying the DCT transform to improve the authentication system security. The conducted experimental results based on ORL face and FVC2002 DB1 fingerprint databases proved the ability of the proposed approach to withstand the conventional digital image watermarking attacks. Also, good performance is showed in term of attaining an accuracy rate of 100%.