Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31903
Multiple Mental Thought Parametric Classification: A New Approach for Individual Identification

Authors: Ramaswamy Palaniappan


This paper reports a new approach on identifying the individuality of persons by using parametric classification of multiple mental thoughts. In the approach, electroencephalogram (EEG) signals were recorded when the subjects were thinking of one or more (up to five) mental thoughts. Autoregressive features were computed from these EEG signals and classified by Linear Discriminant classifier. The results here indicate that near perfect identification of 400 test EEG patterns from four subjects was possible, thereby opening up a new avenue in biometrics.

Keywords: Autoregressive, Biometrics, Electroencephalogram, Linear discrimination, Mental thoughts.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1233


[1] L. Biel, O. Pettersson, L. Philipson and P. Wide, "ECG analysis: a new approach in human identification," IEEE Trans. Instrumentation and Measurement, vol. 50, no. 3, 2001, pp. 808-812.
[2] N. Duta, A.K. Jain and K.V. Mardia, "Matching of palmprints," Pattern Recognition Letters, vol. 23, no. 4, 2002, pp. 477-485.
[3] K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd edition, Academic Press, 1990.
[4] A. K. Jain, A. Ross and S. Pankanti, "A prototype hand geometry-based verification system," Proc. 2nd International Conference on Audio and Video-Based Biometric Person Identification, 1999, pp 166-171.
[5] Z. A. Keirn and J. I. Aunon, "A new mode of communication between man and his surroundings," IEEE Trans. Biomedical Engineering, vol. 37, no. 12, 1990, pp. 1209-1214.
[6] R. Palaniappan, "A new method to identify individuals using VEP signals and neural network," IEE Proc. Science, Measurement and Technology Journal, vol. 151, no. 1, 2004, pp. 16-20.
[7] R. Palaniappan, P. Paramesran, S. Nishida and N. Saiwaki, "A new brain-computer interface design using fuzzy ARTMAP," IEEE Trans. Neural System and Rehabilitation Engineering, vol. 10, 2002, pp. 140- 148.
[8] S. Pankanti, S. Prabhakar and A. K. Jain, "On the individuality of fingerprints," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 8, 2002, 1010-1025.
[9] R. B. Paranjape, J. Mahovsky, L. Benedicenti and Z. Koles, "The electroencephalogram as a biometric," Proc. Canadian Conf. Electrical and Computer Engineering, vol. 2, 2001, pp. 1363-1366.
[10] M. Poulos, M. Rangoussi, V. Chrissikopoulos and Evangelou, "A person identification based on parametric processing of the EEG," Proc. 6th IEEE Int. Conf. Electronics, Circuits, and Systems, vol. 1, 1999, pp. 283- 286.
[11] R. Shiavi, Introduction to Applied Statistical Signal Analysis, 2nd edition, Academic Press, 1999.
[12] J. Wayman, A. Jain, D. Maltoni and D. Maio (eds), Biometric systems: Technology, Design and Performance Evaluation, Springer-Verlag, New York, 2004.