In this paper font recognition and contextual processing are developed as two components that enhance the recognition accuracy of a text recognition system presented in a previous paper. Font information is extracted from two sources: one is the global page properties, the other one is the graph matching result of recognized short words such as "it" and "of" etc.. Contextual processing is done by first composing word candidates from the recognition results and then check each candidate with a dictionary through a spelling checker. Positional binary trigrams and word affixes are used to prune the search for word candidates.