12. The computer readable medium of claim 1 , wherein the act (e) includes an act of identifying a plurality of sequences of objects corresponding to the string of characters based upon a comparison of at least one feature value of each object of each sequence of objects and a range of feature values associated with a corresponding character of the string, the method further comprising acts of: (g) determining, for each respective sequence of objects of the plurality of sequences of objects in which the at least one feature value of each object falls within the range of feature values associated with the corresponding character of the string, a score identifying a likelihood that the respective sequence of objects corresponds to the string of characters; and selecting the respective sequence of objects having a highest score as the sequence of objects from which to create the model character in act (f).
12. The computer readable medium of claim 1 , wherein the act (e) includes an act of identifying a plurality of sequences of objects corresponding to the string of characters based upon a comparison of at least one feature value of each object of each sequence of objects and a range of feature values associated with a corresponding character of the string, the method further comprising acts of: (g) determining, for each respective sequence of objects of the plurality of sequences of objects in which the at least one feature value of each object falls within the range of feature values associated with the corresponding character of the string, a score identifying a likelihood that the respective sequence of objects corresponds to the string of characters; and selecting the respective sequence of objects having a highest score as the sequence of objects from which to create the model character in act (f). 13. The computer readable medium of claim 12 , wherein the score identifies a contrast of the respective sequence of objects.