Protecting biometric templates with image watermarking techniques

Authors:
Nikos Komninos;Tassos Dimitriou
Affiliations:
Athens Information Technology, Peania Attiki, Greece;Athens Information Technology, Peania Attiki, Greece
Venue:
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Year:
2007

Citing 5
Cited 6

Face Recognition: Features Versus Templates

IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Combining Crypto with Biometrics Effectively

IEEE Transactions on Computers
Biometric authentication: a machine learning approach

Biometric authentication: a machine learning approach
Novel blind multiple watermarking technique for images

IEEE Transactions on Circuits and Systems for Video Technology

Multimodal biometric image watermarking using two-stage integrity verification

Signal Processing
Protecting biometric templates using authentication watermarking

PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Watermarking as a means to enhance biometric systems: a critical survey

IH'11 Proceedings of the 13th international conference on Information hiding
Semi-fragile watermarking in biometric systems: template self-embedding

CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Tamper detection and self-recovery of biometric images using salient region-based authentication watermarking scheme

Computer Standards & Interfaces
Biometric template protection with DCT-based watermarking

Machine Vision and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Biometric templates are subject to modifications for identity fraud especially when they are stored in databases. In this paper, a new approach to protecting biometric templates with image watermarking techniques is proposed. The novelty of this approach is that we have combined lattice and block-wise image watermarking techniques to maintain image quality along with cryptographic techniques to embed fingerprint templates into facial images and vice-versa. Thus, protecting them from being modified.