An Analysis of Minutiae Matching Strength
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Communications of the ACM - Multimodal interfaces that flex, adapt, and persist
A Unified Framework for Subspace Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Designs, Codes and Cryptography
Distributed Grayscale Stereo Image Coding with Unsupervised Learning of Disparity
DCC '07 Proceedings of the 2007 Data Compression Conference
Unobtrusive multimodal biometric authentication: the HUMABIO project concept
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing
Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data
SIAM Journal on Computing
A methodology for rapid illumination-invariant face recognition using image processing filters
Computer Vision and Image Understanding
Computer Security: Principles and Practice
Computer Security: Principles and Practice
A comparative evaluation of fusion strategies for multimodal biometric verification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Gait Recognition Using Compact Feature Extraction Transforms and Depth Information
IEEE Transactions on Information Forensics and Security - Part 2
Protecting Biometric Templates With Sketch: Theory and Practice
IEEE Transactions on Information Forensics and Security - Part 2
Distributed source coding using syndromes (DISCUS): design and construction
IEEE Transactions on Information Theory
Image analysis by Krawtchouk moments
IEEE Transactions on Image Processing
Robust image watermarking based on generalized Radon transformations
IEEE Transactions on Circuits and Systems for Video Technology
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The widespread deployment of biometric systems has raised public concern about security and privacy of personal data. In this paper, we present a novel framework for biometric template security in multimodal biometric authentication systems based on error correcting codes. Biometric recognition is formulated as a channel coding problem with noisy side information at the decoder based on distributed source coding principles. It is shown that the proposed method binds the biometric template in a cryptographic key which does not reveal any information about the original biometric data even if it is compromised by an attacker. Furthermore, the advantages of the proposed method in terms of security and impact on matching accuracy are discussed. We assess the performance of the proposed method in the context of HUMABIO, an EU Specific Targeted Research Project, where face and gait biometrics are employed in an unobtrusive application scenario for human authentication. Experimental evaluation on a multimodal biometric database demonstrates the validity of the proposed method.