Medical Biometrics Enabling Security Technologies (MBEST)

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A growing number of security solutions is based on Biometrics recognition technologies for identity authentication, secure monitoring systems, data communication and access control . However, the commonly used biometric modalities such as the fingerprint, iris and face, are venerable to circumvention, replay and obfuscation attacks. On the other hand, medical biometrics which include a novel set of modalities such as the electrocardiogram (ECG), the electroencephalogram (EEG), Oto-acoustic emissions (OAE), the Phonocardiogram (PCG), among others, are robust to these attacks because they are internal to the body and therefore difficult to steal or forge. Furthermore, they offer inherent liveness detection and possibility of continuous authentication since they can provide a fresh biometric reading every couple of seconds. The short term objectives of this proposal is the investigation of the medical biometrics pipeline including the acquisition, pre-processing, enrollment, template generation, matching and classification of various medical biometric modalities. Important challenges that we will address are template variability and stabilization arising from the time dependent nature of the underlying signals. The long term objective is to establish medical biometrics, either as a stand alone or a multi-biometrics component, as viable solution to real time security applications in health care, field monitoring and access control applications. This will require to achieve higher recognition rates, shorter acquisition and processing times and lower cost by utilizing cheap, real time DSP platforms. Finally, biometric encryption technologies will be introduced for increased privacy. The proposed research presents novel ideas in biometric systems research and design and will provide better understanding of medical biometric modalities and their utilization for reliable person authentication and recognition. Also, it addresses timely issues of practical importance to he development of biometric systems and their applications in occupational and welfare monitoring deployments for security and control.