We can only use color numbers, color values and design to describe the color pattern of printed fabrics, which is differentfrom woven fabrics with yarn disposition and texture as pattern determinants. Since most printed fabrics contain many differentpatterns nowadays, we need more than words and simple methods to describe the color patterns. The complication in patternidentification has made the analysis and comparison difficult and will have to be conducted manually. The automatic computercolor separating system for printed fabrics proposed in this paper uses unsupervised learning network to automatically separateprinted colors. The system first uses color scanner to pick the image of the printed fabrics and stores it as digital image.Then, it uses wavelet transformation to minify the fabric image to reduce the calculation load of color separation and alsoreserve the printing structure and color distribution of the