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Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition – A Comparative Study
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu , Mahantapas Kundu
Pages - 12 - 23     |    Revised - 25-02-2010     |    Published - 26-03-2010
Volume - 4   Issue - 1    |    Publication Date - March 2010  Table of Contents
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KEYWORDS
Thermal image, Daubechies Wavelet Transform, Haar Wavelet Transform, Fusion, Principal Component Analysis (PCA), Multi-layer Perceptron and Face Recognition
ABSTRACT
In this paper we present a comparative study on fusion of visual and thermal images using different wavelet transformations. Here, coefficients of discrete wavelet transforms from both visual and thermal images are computed separately and combined. Next, inverse discrete wavelet transformation is taken in order to obtain fused face image. Both Haar and Daubechies (db2) wavelet transforms have been used to compare recognition results. For experiments IRIS Thermal/Visual Face Database was used. Experimental results using Haar and Daubechies wavelets show that the performance of the approach presented here achieves maximum success rate of 100% in many cases.
CITED BY (8)  
1 Singh, K., & Sinha, A. K. (2013). Face Recognition using Extended Kalman Filter based Machine Learning. International Journal of Computer Applications, 66(16).
2 DURÓ, V. E. (2013). Face recognition by means of advanced contributions in machine learning (Doctoral dissertation, Universitat Politècnica de Catalunya).
3 Wang, N., Li, Q., El-Latif, A. A. A., Peng, J., Niu, X., Rawat, P., ... & Kumar, V. V. (2013). Multibiometric Complex Fusion for Visible and Thermal Face Images. International Journal of Signal Processing, Image Processing and Pattern Recognition, 6(3), 1-16.
4 Bhowmik, M. K., Bhattacharjee, D., Basu, D. K., & Nasipuri, M. (2012). Eye region-based fusion technique of thermal and dark visual images for human face recognition. Optical Engineering, 51(7), 077205-1.
5 Saha, P., Bhowmik, M. K., De, B. K., Bhattacharjee, D., & Nasipuri, M. Performance Evaluation through KICA and Feature level Fusion for Human Face Recognition. In Artificial Intelligence and Soft Computing (p. 34).
6 Bhowmik, M. K., Bhattacharjee, D., Basu, D. K., & Nasipuri, M. (2011, December). Facial expression invariant person recognition using feature level fusion of visual and thermal images. In Information and Communication Technologies (WICT), 2011 World Congress on (pp. 1090-1097). IEEE.
7 Bhowmik, m. k., bhattacharjee, d., basu, d. k., & nasipuri, M. Human Face Recognition using Wavelet Fusion and SVM.
8 Singh, K., & Sinha, A. K. (2010, December). An improved algorithm for face recognition using wavelet and facial parameters. In Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia (pp. 51-58). ACM.
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Mr. Mrinal Kanti Bhowmik
Tripura University(A Central University) - India
mkb_cse@yahoo.co.in
Dr. Debotosh Bhattacharjee
Jadavpur University - India
Professor Mita Nasipuri
Jadavpur University - India
Professor Dipak Kumar Basu
Jadavpur University - India
Professor Mahantapas Kundu
Jadavpur University - India