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Feature selection and extraction is the preprocessing step of image mining. An automatic shape recognition system by mining relevant image features is tested in this paper. The system is invariant to rotation, translation, size, and mirror effect and to a certain degree of distortion. Color, depth and texture grouped together to form a set of new features. Selecting and grouping the data be the part of the data mining process. Results are visualized in graphical format and different shapes are seen clearly from the graphical representation.