Fusion of LSB and DWT Biometric Watermarking Using Offline Handwritten Signature for Copyright Protection

Authors:
Cheng-Yaw Low;Andrew Beng-Jin Teoh;Connie Tee
Affiliations:
Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia 75450;Electrical and Electronic Engineering Department, Yonsei University, Seoul, South Korea;Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia 75450
Venue:
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Year:
2009

Citing 4
Cited 2

Hiding a Face in a Fingerprint Image

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Hiding Biometric Data

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition with Renewable and Privacy Preserving Binary Templates

AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
A virtual image cryptosystem based upon vector quantization

IEEE Transactions on Image Processing

Robust watermarking in iris recognition: application scenarios and impact on recognition performance

ACM SIGAPP Applied Computing Review
Watermarking as a means to enhance biometric systems: a critical survey

IH'11 Proceedings of the 13th international conference on Information hiding

Quantified Score

Hi-index	0.00

Visualization

Abstract

Biometric watermarking was introduced as the synergistic integration of biometrics and digital watermarking technology. This paper proposes a novel biometric watermarking technique, which embeds offline handwritten signature in host image for copyright protection. We propose to combine the conventional LSB-based and DWT-based watermarking techniques into a unison framework, which is known as LSB-DWT in this paper. The proposed LSB-DWT technique is evaluated against various simulated security attacks, i.e. JPEG compression, Gaussian low-pass filtering, median filtering, Gaussian noise, scaling, rotation and cropping. The experimental results demonstrate that the proposed LSB-DWT technique exhibits remarkable watermark imperceptibility and watermark robustness.