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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
Published in International Journal of Image Processing (IJIP)
MORE INFORMATION
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.
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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