Abstract
The performance of frequency domain correlation filter is studied for face recognition by considering only the phase part of the face images. The dimensions of the phase spectra are reduced by using frequency domain principal component analysis (PCA). The phase only correlation filter is modified by using continuous Mexican hat wavelet to generate a new wavelet modified phase only correlation filter (WPoCF).The performances of the technique at natural and noisy conditions are improved, when compared to conventional correlation filters. It has been shown that the new approach improves the recognition accuracy at different illuminations and noise conditions.
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Banerjee, P.K., Datta, A.K. Illumination and noise tolerant face recognition based on eigen-phase correlation filter modified by Mexican hat wavelet. J Opt 38, 160–168 (2009). https://doi.org/10.1007/s12596-009-0014-9
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DOI: https://doi.org/10.1007/s12596-009-0014-9