Abstract

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.