Infrared Face Recognition Based on Blood Perfusion and Weighted Block-DCT in Wavelet Domain

A novel infrared face recognition method is proposed in this paper. To get stable biological information, the raw thermal images are transformed to the blood perfusion images based on pennes equation, and they are decomposed using two scales' discrete wavelet transform. Then, the components of low frequency sub-bands are partitioned into sub-blocks, then, they are transformed by DCT. Each face is represented by the coefficients extracted from the sub-blocks in DCT domain. Finally, according to the discriminative power, a weighted algorithm is applied to get the final decision. Experimental results demonstrate the method proposed perform very well on recognition rates as compared to other methods.