dc.contributor.author | Hema, Chengalvarayan Radhakrishnamurthy | |
dc.contributor.author | Paulraj, Murugesapandian | |
dc.contributor.author | Kaur, Harkirenjit | |
dc.date.accessioned | 2009-12-10T03:10:50Z | |
dc.date.available | 2009-12-10T03:10:50Z | |
dc.date.issued | 2008-12-01 | |
dc.identifier.citation | p.1-4 | en_US |
dc.identifier.isbn | 978-1-4244-2315-6 | |
dc.identifier.uri | http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4786753 | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/7391 | |
dc.description | Link to publisher's homepage at http://ieeexplore.ieee.org | en_US |
dc.description.abstract | In 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.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineering (IEEE) | en_US |
dc.relation.ispartofseries | Proceedings of the International Conference on Electronic Design (ICED 2008) | en_US |
dc.subject | Biometrics (Access Control) | en_US |
dc.subject | Electroencephalography | en_US |
dc.subject | Digital signatures | en_US |
dc.subject | Biometric authentication technique | en_US |
dc.subject | Neural network | en_US |
dc.subject | Brain signatures | en_US |
dc.subject | Medical signal processing | en_US |
dc.title | Brain signatures: a modality for biometric authentication | en_US |
dc.type | Working Paper | en_US |
dc.contributor.url | hema@unimap.edu.my | en_US |