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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29414

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Information Fusion for Identity Verification
In this paper we propose a novel approach for ascertaining human identity based on fusion of profile face and gait biometric cues The identification approach based on feature learning in PCA-LDA subspace, and classification using multivariate Bayesian classifiers allows significant improvement in recognition accuracy for low resolution surveillance video scenarios. The experimental evaluation of the proposed identification scheme on a publicly available database [2] showed that the fusion of face and gait cues in joint PCA-LDA space turns out to be a powerful method for capturing the inherent multimodality in walking gait patterns, and at the same time discriminating the person identity..
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[1] Murray, M.P., Drought, A.B., and Kory, R.C , "Walking pattern of movement", American Journal Medicine, vol.46, no. 1, pp.290-332, Jan. 1967.
[2] Schuldt Christian, Laptev Ivan and Caputo Barbara, "Recognizing Human Actions: A Local SVM Approach". In Proceedings ICPR 2004. (retrieved on 28th May 2011).
[3] J.N.Pato and L..I.Millett, Editor: Biometric Recognition: Challenge and opportunities, Research opportunities and the future of biometrics, National Research Council of the national Academics, Copyright 2010 by the national Academy of Science. All right reserved.
[4] D. Sanchez and P. Melin, Modular neural network with fuzzy integration and its optimization using genetic algorithms for human recognition based on iris, ear and voice
[5] J. C. Vazquez, M. Lopez and P. Melin, Real Time Face Identification Using a Neural Network approach, soft comp. for regcogn, based on biometric, SCI 312, pp. 155- 169, @ Springer-Verlag Berlin Heidelberg 2010
[6] F. Gaxiola, P. Melin and M. Lopez, Modular Neural Network for Person Authentication Using Counter Segmentation of the Human Iris Biometrics Measurement, Soft Comp. for Revogn, Based of Biometric, SCI 312, pp. 137-153, @ Springer-Verlag, Berlin Heidelberg 2010
[7] S. Berretti, A. Bimbo and P. Pala, 3D face recognaition using isogeodesic stripes, IEEE transaction on pattern analysis and machine intelligence, vol. 32, no. 12, December 2010
[8] Human Face Recognition, Advantages and disadvantages of 3D face recognition, biometrics_and_human_biometrics.htm
[9] A.K. Jain, Next Generation Biometrics, Department of Computer Science & Engineering, Michigan State University, Department of Brain & Cognitive Engineering, Korea University, December 10, 2009.
[10] S. Bengio and J. Mariethoz, Biometric Person Authentication IS A Multiple Classifier Problem, Google Inc, Mountain View, CA, USA, [email protected], IDIAP Research Institute, Martigny, Switzerland, [email protected]
[11] G. Shakhnarovich T. Darrell, On Probabilistic Combination of Face and Gait Cues for Identification, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 200 Technology Square, Cambridge MA 02139, fgregory,[email protected]
[12] M. N. Eshwarappa and M. V. Latte, Bimodal Biometric Person Authentication System Using Speech and Signature Features, International Journal of Biometrics and Bioinformatics, (IJBB), Volume (4): Issue (4).
[13] B. Son and Y. Lee, Biometric Authentication System Using Reduced Joint Feature Vector of Iris and Face, Division of Computer and Information Engineering, Yonsei University, 134 Shinchon-dong, Seodaemoongu, Seoul 120-749, Korea, {sonjun,yblee} T. Kanade, A. Jain, and N.K. Ratha (Eds.): AVBPA 2005, LNCS 3546, pp. 513-522, [email protected] Springer- Verlag Berlin Heidelberg 005)
[14] N. B. Boodoo, R. Subramanian, Robust Multi-biometric recognition Using Face and Ear Images, (IJCSIS) Imternational Journal of Computer Science and Information Security, Vol. 6, No. 2, 2009.
[15] I. K. Shlizerman, R. Basri, 3D Face Reconstruction from a Single Image Using a Single Reference Face Shape, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No.2 February 2011.
[16] Chetty, G. & White, M. (2010). "Multimedia Sensor Fusion for Retrieving Identity in Biometric Access Control Systems", ACM Transaction on Multimedia Computing, Communications and Applications (Special Issue on Sensor Fusion), Nov. 2010.
[17] Chetty, G. & Wagner, M. (2008). Robust face-voice based speaker identity verification using multilevel fusion, Image and Vision Computing, 26, 1249-1260.
[18] S.M.E. Hossain & G. Chetty, "Next Generation Identity Verification Based on Face and Gait Biometric" International Conference on Biomedical Engineering and Technology" Kuala Lumpur 17-19 June 2011.
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