Improving the Recognition Performance of Moment Features by Selection - Feature Selection for Data and Pattern Recognition - page 317

Moreover, the Zernike moments seem to be the most discriminant moment family
compared to other moments, since they recognized the patterns of the three datasets
with the highest rate. Also, one additional outcome of the experiments was the out-
performance of the Krawtchouk moments to the JAFFE dataset. This result set the
basis of a future study regarding the selection of moments belonging to different
moment families, in order to take advantage of the properties each family presents.
Conclusively, an initial claim was set and proved both theoretically and
experimentally, by establishing the selection of moment features as a mandatory
processing step of any modern pattern recognition system.
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