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There are a number of issues related to the development of biometric authentication systems, such as privacy breach, consequential security and biometric template storage. Thus, the current paper aims to address these issues through the hybrid approach of watermarking with biometric encryption. A multimodal biometric template protection approach with fusion at score level using fingerprint and face templates is proposed. The proposed approach includes two basic stages, enrollment stage and verification stage. During the enrollment stage, discrete wavelet transform (DWT) is applied on the face images to embed the fingerprint features into different directional sub-bands. Watermark embedding and extraction are done by quantizing the mean values of the wavelet coefficients. Subsequently, the inverse DWT is applied to obtain the watermarked image. Following this, a unique token is assigned for each genuine user and a hyper-chaotic map is used to produce a key stream in order to encrypt a watermarked image using block-cipher. The experimentation results indicate the efficiency of the proposed approach in term of achieving a reasonable error rate of 3.87%. [ABSTRACT FROM AUTHOR]

Biometric recognition has been proven to offer a reliable solution to authenticate the identity of the legitimate user. Because of the inherent nature of biometrics, which involves the practice of digitally scanning the physiological or behavioral characteristics of individuals as a means of identification, the biometric trait employed is associated permanently with an individual and cannot be modified. This paper proposes a multimodal biometric template protection algorithm for the security of stored biometric templates in a database. The proposed algorithm is based on watermarking, shuffling process, Hadamard matrix and chaotic map. The security of the algorithm depends on the secrecy of the keys and the chaotic map. Watermarking based on Discrete Wavelet Transform-Singular Value Decomposition has been applied to fuse the features of face and fingerprint in order to improve the security of biometric data. To satisfy the requirements of a biometric template protection algorithm, each genuine user is assigned a unique key for the shuffling process and a unique code is generated using Hadamard matrix. Hadamard matrix is used to provide orthogonality and chaotic map for randomization. The identification process is carried out using Hamming distance. The experimental results give a good performance in terms of achieving a minimum value of FRR and FAR in comparison with previous studies. [ABSTRACT FROM AUTHOR]