Biometric Recognition: Security and Privacy Concerns
IEEE Security and Privacy
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Communications of the ACM - Multimodal interfaces that flex, adapt, and persist
Score normalization in multimodal biometric systems
Pattern Recognition
A fuzzy approach to multimodal biometric continuous authentication
Fuzzy Optimization and Decision Making
ACC'08 Proceedings of the WSEAS International Conference on Applied Computing Conference
Combined handwriting and speech modalities for user authentication
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Gaussian mixture models for CHASM signature verification
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
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
Modelling combined handwriting and speech modalities
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Biometric authentication on a mobile device: a study of user effort, error and task disruption
Proceedings of the 28th Annual Computer Security Applications Conference
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Ensuring the security of medical records is becoming an increasingly important problem as modern technology is integrated into existing medical services. As a consequence of the adoption of electronic medical records in the health care sector, it is becoming more and more common for a health professional to edit and view a patient's record using a tablet PC. In order to protect the patient's privacy, as required by governmental regulations in the United States, a secure authentication system to access patient records must be used. Biometric-based access is capable of providing the necessary security. On-line signature and voice modalities seem to be the most convenient for the users in such authentication systems because a tablet PC comes equipped with the associated sensors/hardware. This paper analyzes the performance of combining the use of on-line signature and voice biometrics in order to perform robust user authentication. Signatures are verified using the dynamic programming technique of string matching. Voice is verified using a commercial, off the shelf, software development kit. In order to improve the authentication performance, we combine information from both on-line signature and voice biometrics. After suitable normalization of scores, fusion is performed at the matching score level. A prototype bimodal authentication system for accessing medical records has been designed and evaluated on a small truly multimodal database of 50 users, resulting in an average equal error rate (EER) of 0.86%.