Title :
Recognising Individuals Using Their Brain Patterns
Author :
Ravi, K.V.R. ; Palaniappan, Ramaswamy
Author_Institution :
Fac. of Inf. Sci. & Technol., Multimedia Univ., Melaka
Abstract :
In this paper, a novel method to recognise persons using their brain patterns is proposed. These brain patterns are obtained when the individuals perceive a picture. High frequency brain energy is used as features that are classified by Elman backpropagation neural network. The experimental results using 1600 brain signals from 40 individuals give average classification rate of 96.63%. This pilot investigation shows that the proposed method of recognising persons using their brain signals is worth further study
Keywords :
backpropagation; biometrics (access control); brain; feature extraction; signal classification; visual evoked potentials; Elman backpropagation neural network; brain pattern; brain signal; high frequency brain energy; individual recognition; person recognition; Backpropagation; Biological neural networks; Biometrics; Brain modeling; Electrodes; Electroencephalography; Fingerprint recognition; Frequency; Pattern recognition; Signal processing;
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2316-1
DOI :
10.1109/ICITA.2005.234
