Fourier and wavelet descriptors for shape recognition using neural networks—a comparative study-Reference-Cited by-同舟云学术

Fourier and wavelet descriptors for shape recognition using neural networks—a comparative study

Published:2002-09 Issue:9 Volume:35 Page:1949-1957
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Osowski Stanislaw,Nghia Do Dinh

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference20 articles.

1. A complete set of Fourier descriptors for 2-D shapes;Crimmins;IEEE Trans. Syst. Man Cybern.,1982

2. Elliptic Fourier features of a closed contours;Kuhl;Comput. Graphics Image Process.,1982

3. C. Svarer, Neural networks for signal processing, Ph.D. Electronics Institute, TUD, Lyngby.

4. Wavelet descriptors for multiresolution recognition of handprinted characters;Wunsch;Pattern Recognition,1995

5. I. Daubechies, Ten lectures on wavelets, CBMS—NSF Regional Conference Series in Applied Mathematics, Vol. 61, Capital City Press, Montpelier, 1992.

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