The aim of the project was to propose a method for reliable detection and extraction of facial features in two and three dimensions. Several 2D methods were attempted – edge detection, intensity scanning, and Gabor transform. The Gabor transfor

Gabor wavelet transform and PCA face recognition code, Dual-line interpolation FFT harmonic analysis kaiser windows, Using weighted model nodes in the network strength and weight are power law distribution.

Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Interpolation and fitting, solution of equations, data analysis, Gabor wavelet transform and PCA face recognition code.

Based on the time delay estimation of power spectrum, matlab implements five gray correlation degree computing model, Gabor wavelet transform and PCA face recognition code.