Title :
Invariant Radon-Wavelet Packet Signatures for Pattern Recognition
Author :
Chen, G.Y. ; Kegl, B.
Author_Institution :
Dept. of Comput. Sci. & Oper. Res., Montreal Univ., Que.
Abstract :
A novel descriptor for invariant pattern recognition is proposed by using the Radon transform, the shift-invariant wavelet packet transform, and the Fourier transform. Experimental results show that the proposed descriptor achieves high recognition rates under different rotation angles and noise levels. It outperforms a previously developed method under the noisy environment
Keywords :
Fourier transforms; Radon transforms; image recognition; wavelet transforms; Fourier transform; Radon-wavelet transform; invariant pattern recognition; noisy environment; packet signatures; rotation angles; shift-invariant wavelet packet transform; Computer science; Feature extraction; Fourier transforms; Handwriting recognition; Noise level; Operations research; Pattern recognition; Wavelet domain; Wavelet packets; Wavelet transforms; Fourier transform; Radon transform; feature extraction; pattern recognition; ridgelets; wavelet packets; wavelet transform;
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
DOI :
10.1109/CCECE.2006.277475
