The primary goal of this study is to provide a robust validation for biometric
systems. When compared to unimodal biometrics, which use just one biometric feature,
such as a unique finger print, facial feature, or palm print, multimodal validation
provides a higher level of confirmation. In this paper, we use an individual's distinctive
fingerprint as a watermark that is installed in the desired locations of the facial image
of that individual that is captured with the aid of using a camera. This is accomplished
by using a technique known as the Discrete Wavelet Transform (DWT). Between
unwatermarked and watermarked face images, there is a significant serious level of
visual relationship. Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error
(MSE) procedures have been compared to and evaluated by the proposed watermarking
strategy.
Keywords: Biometrics, Discrete wavelet transform, Inverse discrete wavelet transform, Watermarking.
