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Thresholding is an important technique for image segmentation and is widely applied to the field of digital image processing. The purpose of this paper is to extend the minimum error thresholding to the 2-dimensional histogram to come up a new algorithm, namely, minimum error thresholding based on the 2D histogram. This new method can derive the 2D optimal(More)
In this paper, we present a new face recognition algorithm based on Gabor wavelet coefficients fusion. We first take the coefficients of Gabor wavelet transform deriving form face images as eigenvectors. And then, we get the new eigenvectors by fusing the Gabor coefficient. Then according similarity function, we recognize face images under different(More)
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