Multiple Mental Thought Parametric Classification: A New Approach for Individual Identification
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.
[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.
[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.
@article{"International Journal of Medical, Medicine and Health Sciences:58223", author = "Ramaswamy Palaniappan", title = "Multiple Mental Thought Parametric Classification: A New Approach for Individual Identification", abstract = "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.", volume = "2", number = "8", pages = "298-4", }