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Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition – A Comparative Study
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International Journal of Image Processing (IJIP)
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Volume:  4    Issue:  1
Pages:  1-88
Publication Date:   March 2010
ISSN (Online): 1985-2304
Pages 
12 - 23
Author(s)  
 
Published Date   
26-03-2010 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Thermal image, Daubechies Wavelet Transform, Haar Wavelet Transform, Fusion, Principal Component Analysis (PCA), Multi-layer Perceptron and Face Recognition 
 
 
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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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Mrinal Kanti Bhowmik : Colleagues
Debotosh Bhattacharjee : Colleagues
Mita Nasipuri : Colleagues
Dipak Kumar Basu : Colleagues
Mahantapas Kundu : Colleagues  
 
 
 
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