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.

fYear

2006

fDate

38838

Firstpage

1471

Lastpage

1474

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CCECE.2006.277475

Filename

4054569

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3134556