IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theoretical Study on Six Classifier Fusion Strategies
IEEE Transactions on Pattern Analysis and Machine Intelligence
Memory-Based Face Recognition for Visitor Identification
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Robust Real-Time Face Detection
International Journal of Computer Vision
Using Continuous Face Verification to Improve Desktop Security
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Using Continuous Biometric Verification to Protect Interactive Login Sessions
ACSAC '05 Proceedings of the 21st Annual Computer Security Applications Conference
A Simple active attack against TCP
SSYM'95 Proceedings of the 5th conference on USENIX UNIX Security Symposium - Volume 5
Continuous verification using multimodal biometrics
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Multimodal biometrics using geometry preserving projections
Pattern Recognition
Iris feature extraction using directional filter bank for personal identification
Proceedings of the 2nd Bangalore Annual Compute Conference
Activity-aware ECG-based patient authentication for remote health monitoring
Proceedings of the 2009 international conference on Multimodal interfaces
IEEE Transactions on Wireless Communications
A feature extraction method for use with bimodal biometrics
Pattern Recognition
A new framework for adaptive multimodal biometrics management
IEEE Transactions on Information Forensics and Security
Facial recognition in uncontrolled conditions for information security
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Human computing and machine understanding of human behavior: a survey
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
Soft biometric traits for continuous user authentication
IEEE Transactions on Information Forensics and Security
Benefits of Location-Based Access Control: A Literature Study
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
How to handle missing data in robust multi-biometrics verification
International Journal of Biometrics
Some issues of biometrics: technology intelligence, progress and challenges
International Journal of Information Technology and Management
Dynamic sample size detection in continuous authentication using sequential sampling
Proceedings of the 27th Annual Computer Security Applications Conference
Clinical data privacy and customization via biometrics based on ECG signals
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
A multi-resolution multi-classifier system for speaker verification
Expert Systems: The Journal of Knowledge Engineering
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Conventional verification systems, such as those controlling access to a secure room, do not usually require the user to reauthenticate himself for continued access to the protected resource. This may not be sufficient for high-security environments in which the protected resource needs to be continuously monitored for unauthorized use. In such cases, continuous verification is needed. In this paper, we present the theory, architecture, implementation, and performance of a multimodal biometrics verification system that continuously verifies the presence of a logged-in user. Two modalities are currently used—face and fingerprint—but our theory can be readily extended to include more modalities. We show that continuous verification imposes additional requirements on multimodal fusion when compared to conventional verification systems. We also argue that the usual performance metrics of false accept and false reject rates are insufficient yardsticks for continuous verification and propose new metrics against which we benchmark our system.