Abstract
We further explore the possibility of using the energy of brain potentials evoked during processing of visual stimuli (VS) as a new biometric tool, where biometric features representing the energy of high frequency electroencephalogram (EEG) spectra are used in the person identification paradigm. For convenience and ease of processing of cognitive processing, in the experiments, simple black and white drawings of common objects are used as VS. In the classification stage, the Elman neural network is employed to classify the generated EEG features. The high recognition rate of 99.62% on an ensemble of 800 raw EEG signals indicates the potential of the proposed method.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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Palaniappan, R., Mandic, D.P. (2005). Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric?. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_117
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DOI: https://doi.org/10.1007/11550907_117
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