Related Experiment Video
Updated: Aug 28, 2025
06:25
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
Published on: February 23, 2024
683
Efficient Hybrid Blind Watermarking in DWT-DCT-SVD with Dual Biometric Features for Images
Bhargavi Mokashi1, Vandana S Bhat2, Jagadeesh D Pujari2
1Department of Computer Science and Engineering, PES University, Bengaluru, India.
Contrast Media & Molecular Imaging
|September 21, 2022
Summary
This study introduces a robust digital watermarking technique using dual biometric features (fingerprint and signature) for secure image authentication. The combined Discrete Wavelet Transform, Discrete Cosine Transform, and Singular Value Decomposition (DWT-DCT-SVD) method ensures watermark resilience against attacks.
Area of Science:
- Computer Science
- Information Security
- Digital Forensics
Background:
- Digital watermarking is crucial for protecting sensitive information in virtual environments.
- Biometric features like fingerprints and signatures offer unique identifiers for enhanced security.
- Existing watermarking methods face challenges in robustness against various attacks.
Purpose of the Study:
- To develop a secure and robust image watermarking scheme using dual biometric features.
- To embed fingerprint and signature data into cover images for authentication.
- To evaluate the proposed scheme's resilience against common image manipulation attacks.
Main Methods:
- A hybrid watermarking approach combining Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), and Singular Value Decomposition (SVD) was employed.
- Singular values of biometric watermarks (fingerprint and signature) were extracted using DWT-DCT-SVD.
- The extracted singular values were combined and embedded into the cover image.
Main Results:
- The proposed DWT-DCT-SVD watermarking scheme demonstrated high robustness against various attacks.
- Experimental results showed an average Peak Signal-to-Noise Ratio (PSNR) of approximately 40 dB.
- An average Structural Similarity Index Measure (SSIM) of 0.99 indicated excellent image quality preservation.
Conclusions:
- The fusion of DWT-DCT-SVD watermarking with dual biometric features significantly enhances image authentication security and reliability.
- The developed technique provides a foolproof method for protecting influential documents against unauthorized access and manipulation.
- The scheme offers a promising solution for secure digital content protection in networked environments.
