Abstract:

This paper proposes a novel temperature normalization method in Fourier domain, which can lessen the effect on infrared face recognition from ambient temperature. Firstly, the infrared face images in different ambient temperatures are transformed to Fourier domain. Secondly, based on statistical theory, the variances of phase spectrum and amplitude spectrum of the infrared face are used to describe the extent affected by the ambient temperature. Then, to achieve the robust information, those parts with big variances in the phase spectrum and amplitude spectrum are discarded and replaced by corresponding mean parts in training database. The main idea of this process is that one can set a suitable threshold for the variance of phase spectrum and amplitude spectrum and find those characteristic points that should be replaced. Finally, in order to verify the effectiveness of our temperature normalization method, the normalized infrared face is applied to the traditional face recognition system based on classic PCA method. Experimental results show that our normalization method can obtain stable information in infrared face and improve the performance of the infrared face recognition system.

Key words: temperature normalization;Fourier transform;variance;infrared face recognition