Favor simple, image-based features:

focus on PATTERN RECOGNITION

Which simple features are the best?

1) PCA to reduce dimensionality.

2) Fisher LD to identify most discriminatory features.

 

Assumption:

Weak normalization of position / alignment is sufficient