Multimodal Biometric Authentication Using Watermarking
- Authors: Shargunam S.1, Mallika Pandeeswari R.2, Ravi R.3, Praywin Samson E.4, Samuel M.5, Preethi Sharon6
-
View Affiliations Hide Affiliations1 Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India 2 Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India 3 Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India 4 Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India 5 Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India 6 Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India
- Source: Intelligent Technologies for Research and Engineering , pp 20-34
- Publication Date: July 2024
- Language: English
Multimodal Biometric Authentication Using Watermarking, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9789815196269/chapter-2-1.gif
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.
-
From This Site
/content/books/9789815196269.chapter-2dcterms_subject,pub_keyword-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData105
