Salahiddin Altahat

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Human identification becomes huge demand in particular for the security related areas. Biometric systems can employ different kinds of features, e.g., features of fingerprint, face, iris or posture. EEG signals are the signature of neural activities. It is confidential and hard to imitate, since EEG signals are a reflection of individual-dependent inner(More)
In electroencephalogram (EEG) based biometrics, the determination of the right channel set helps improve accuracy and usability, while reducing the required number of electrodes and hence the complexity and cost of the EEG system. In this work we find a reduced set of channels designed to enhance human authentication accuracy regardless of changes in the(More)
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