Illumination invariant extracting method for complex illumination face recognition
A face recognition and extraction method technology, applied in the field of face recognition, can solve the problem of unsatisfactory face recognition effect, and achieve the effect of improving the accuracy of face recognition
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[0022] The present invention will be further described below in conjunction with the accompanying drawings.
[0023] At present, effective illumination invariant extraction methods at home and abroad mainly include: multi-scale Retinex (MSR), self-quotient image (SQI), logarithmic total variation (LTV), and wavelet-based illumination invariant (MFSR) and gradient face ( Gradient faces).
[0024] Such as figure 1 Shown: An illumination invariant extraction method (MCPD for short) for complex illumination face recognition, which can choose different multi-scale profile analysis tools. In the specific implementation process of the present invention, the non-subsampled contourlet transform is used to carry out 3 (the value of parameter k) scales to the image, 4 (the value of parameter 1) m value) directions to obtain the contour information of the image. The specific method is described as follows:
[0025] Step 1: read in the face image;
[0026] Step 2: Perform non-subsampl...
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