Protection of biometric data is gaining interest and digital watermarking techniques are used to protect the biometric data from either accidental or intentional attacks. Among all the biometric techniques, fingerprint-based identification is the oldest method which has been successfully used in numerous applications. The information used for identification or verification of a fingerprint, mainly lies in its minutiae. Advanced image watermarking is a valuable answer for the issue of data security, copyright and system security. The proposed algorithm is based on Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) to improve the recognition performance as well as the security of fingerprint based biometric system which will provide adequate security to fingerprint data without degrading visual quality. The algorithm converted the minutiae into binary watermark, increasing embedded information capacity. Different experiments are performed to test the effectiveness and robustness of proposed algorithm and the experimental results shows that the scheme is effective and robust against various image processing attacks. Results shows higher PSNR and NC values under general image processing.The algorithm can satisfy the transparency and robustness of the watermarking system very well and the useful information can be extracted accurately even if the fingerprint is severely degraded.

Arnold transform, Digital Watermarking, DWT, Fingerprint minutiae, Normalized coefficient, Peak signal to noise ratio, SVD

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