32. A non-transitory computer-readable medium encoded with a system to process at least one document image comprising a plurality of text rows and a plurality of characters, each text row having at least one character, the system comprising a plurality of modules to execute on at least one processor, the modules comprising a character block creator to create character blocks for the characters in the text rows and to determine positions of alignments of the character blocks; and a classification system comprising: a subsets module to determine columns for the alignments of the character blocks at the positions of the alignments, each text row having a physical structure defined by the columns of the alignments of the character blocks in that text row, and to determine an initial subset of rows for each column; an optimum set module to determine an optimum set of columns for each initial subset of rows; a division module to: determine a final subset of rows for each initial subset of rows, each final subset of rows comprising at least one text row of a corresponding initial subset of rows having physical structures most similar to a corresponding optimum set when compared to physical structures of all text rows in the corresponding initial subset of rows; determine a confidence factor for each final subset of rows; and determine a best confidence factor for each particular text row in the at least one document image; and a classifier module to create at least one class of text rows, the at least one class comprising at least one particular text row having a same best confidence factor.
46. The system of claim 32 wherein the modules further comprise a data extractor to extract data from at least one particular text row in at least one class.