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dc.contributor.authorHema, Chengalvarayan Radhakrishnamurthy
dc.contributor.authorPaulraj, Murugesapandian
dc.contributor.authorKaur, Harkirenjit
dc.date.accessioned2009-12-10T03:10:50Z
dc.date.available2009-12-10T03:10:50Z
dc.date.issued2008-12-01
dc.identifier.citationp.1-4en_US
dc.identifier.isbn978-1-4244-2315-6
dc.identifier.urihttp://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4786753
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7391
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.orgen_US
dc.description.abstractIn this paper we investigate the use of brain signatures as a possible biometric authentication technique. Research on brain EEG signals has shown that individuals exhibit unique brain patterns for similar tasks. In this paper we use brain EEG signals recorded during the performance of three mental tasks to identify six individuals. PSD features using Welch algorithm is extracted from the EEG Beta waves. A feed forward neural classifier is used to identify the six individuals. The performance of the neural network is appreciable with an average accuracy of 94.4 to 97.5%. Results validate the usage of brain signatures as a possible modality for biometric verification.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineering (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Electronic Design (ICED 2008)en_US
dc.subjectBiometrics (Access Control)en_US
dc.subjectElectroencephalographyen_US
dc.subjectDigital signaturesen_US
dc.subjectBiometric authentication techniqueen_US
dc.subjectNeural networken_US
dc.subjectBrain signaturesen_US
dc.subjectMedical signal processingen_US
dc.titleBrain signatures: a modality for biometric authenticationen_US
dc.typeWorking Paperen_US
dc.contributor.urlhema@unimap.edu.myen_US


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