A scale and rotation invariant feature extraction method based on color images is proposed and been applied for the recognition of real-world scenes. Radon transform is firstly applied in the three component planes of the given color image and then the scale invariance operation is implemented in Radon transform coefficient matrixes. One-dimensional wavelet transform with the frequency B-spline wavelet is used in Radon transform coefficient matrix. The mean and variance are calculated in ridgelet coefficient matrix

and the relationship is extracted for all the frequency sub-bands under different color component plane using linear regression model. Finally rotation invariance operation is conducted for obtained features. Therefore

the proposed scale and rotation invariant features are acquired. The experimental results using the three databases show that the proposed method is reliable and efficient.