Fresnel transform based invariant moments extraction and object recognition method

An invariant moments feature extraction method based on Fresnel transform was proposed, and applied to image recognition. The original image was mapped into the Fresnel diffraction projection space by using the Fresnel transform. The geometric or orthogonal moment invariants were extracted in the diffraction space, from which the characterization of the global image information can be obtained. The k-nearest neighbor classifier was employed to implement objects classification. Experimental results show that the proposed moment invariants extraction method achieves high recognition rates for different combinations of translation, scaling and rotation and is very robust to noise.