Face recognition with multiscale data fusion of visible and thermal images

This paper presents face recognition with activity level fusion of visible and thermal image using multiscale decomposition. Image fusion features to obtain a images combines images with different single composite image with extended information for better recognition performance. The proposed fusion technique adaptively controls the fitsion ratio between visible and thermal information with multiscale analysis. Experimental results demonstrate that the proposed method effectively overcomes the weaknesses of visible and thermal images. The performance of the fusion is evaluated by classification rate with support vector machines.