Abstract
With the advancement of biomedical technology, human brain signals are easy to measure and which are known as electroencephalogram (EEG) signals. These signals are used in different applications. One of the applications for brain waves is biometric authentication. For any signal to use as biometric parameter, it must possess some biometric characteristics such as universality, uniqueness, permanence, collectability, performance, acceptance, and circumvention. EEG has several characteristic to use as biometric parameter. This paper shows the uniqueness of EEG signal using some statistical parameters that support the uniqueness property of EEG.
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Kaliraman, B., Singh, P., Duhan, M. (2021). Use of EEG as a Unique Human Biometric Trait for Authentication of an Individual. In: Hura, G.S., Singh, A.K., Siong Hoe, L. (eds) Advances in Communication and Computational Technology. ICACCT 2019. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. https://doi.org/10.1007/978-981-15-5341-7_23
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DOI: https://doi.org/10.1007/978-981-15-5341-7_23
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