By researching the principle of colorimetric characterization method and Support
Vector Regression (SVR), we analyze the feasibility of nonlinear transformation from scanner RGB
color space to CIELAB color space based on SVR and built a new characterization model. Then we use
the MATLABR2009a software to make a data simulation experiment to verify the accuracy of this
model and figure out the color differences by CIEDE2000 color difference formula. Based on
CIEDE2000 color difference formula, the average, the maximum and the minimum color differences of
the training set are 1.2376, 2.5593 and 0.2182, the average, the maximum and the minimum color
differences of the text set are 1.9318, 4.1421 and 0.4228. From the experimental results, we can make a
conclusion that SVR can realize the nonlinear transformation from scanner RGB color space to
CIELAB color space and the model satisfies the accuracy of scanner characterization. Therefore, SVR
can be used into the color scanner characterization management.
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