4. The method of claim 2 , further comprising obtaining text for each tessellated region predicted to contain text and wherein classifying comprises classifying each tessellated region predicted to contain text at least partially according to a percentage of text from that tessellated region that is found in an electronic dictionary.
2. The method of claim 1 , wherein classifying comprises: obtaining a normalized probability data set for each region identified in each segmented version of the digital image, each set of probability data containing a probability value for each of a plurality of content types; mapping each probability data set to one or more corresponding tessellated regions; for each probability data set mapped to a particular tessellated region, summing the probability values for each content type; and predicting a content type for each tessellated region based at least in part upon a maximum of the summed probability values for that tessellated region; and classifying each tessellated region at least partially according to its predicted content type.