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In this paper we present a comparative study on fusion of visual and thermalimages using different wavelet transformations. Here, coefficients of discretewavelet transforms from both visual and thermal images are computed separatelyand combined. Next, inverse discrete wavelet transformation is taken in orderto obtain fused face image. Both Haar and Daubechies (db2) wavelet transformshave been used to compare recognition results. For experiments IRISThermal/Visual Face Database was used. Experimental results using Haar andDaubechies wavelets show that the performance of the approach presented hereachieves maximum success rate of 100% in many cases.

Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study