Fusion of LSB and DWT biometric watermarking using offline handwritten signature for copyright protection

Cheng Yaw Low, Andrew Beng Jin Teoh, Connie Tee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Biometrics - Third International Conference, ICB 2009, Proceedings
Pages786-795
Number of pages10
DOIs
Publication statusPublished - 2009
Event3rd International Conference on Advances in Biometrics, ICB 2009 - Alghero, Italy
Duration: 2009 Jun 22009 Jun 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5558 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Advances in Biometrics, ICB 2009
CountryItaly
CityAlghero
Period09/6/209/6/5

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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