The automatic skew-correction of scanned color document image is a necessary step undergone before some processing such as OCR(optical character recognition).For the purpose of accurate and efficient automatic correction

two algorithms

namely skew-detection and skew-adjustment

are proposed.The skew-detection algorithm

which is based on the analysis of texture complexity of document image with homogeneous background

solves the problem of how the accurate skew angle can be found.Besides the rotation transform

the skew-adjustment algorithm includes a dual linear interpolation algorithm for color compensation based on linear dependence among the colors in the neighborhood to accomplish the skew-correction of a color image and the elimination of the "Saw tooth" phenomenon resulted from the integer-operation during the coordinates transformation.In the end

the authors illustrate their experimental results

which show that the presented algorithm is exact

efficient

and practical for color documents whose background are not complex.