16. In a computing environment, a method comprising: determining a dataset having digital ink items representative of a plurality of different classes of digital ink data to be recognized; building a classifier according to the plurality of different classes of the digital ink data to be recognized by extracting features for the plurality of different classes of the digital ink data from samples of the plurality of different classes; using features of the classifier corresponding to the digital ink items to build a unified digital ink recognizer for two or more different types of the digital ink data; receiving an input item; and recognizing the input item with the unified digital ink recognizer to output a value associated with one of the two or more different types of the digital ink data.
16. In a computing environment, a method comprising: determining a dataset having digital ink items representative of a plurality of different classes of digital ink data to be recognized; building a classifier according to the plurality of different classes of the digital ink data to be recognized by extracting features for the plurality of different classes of the digital ink data from samples of the plurality of different classes; using features of the classifier corresponding to the digital ink items to build a unified digital ink recognizer for two or more different types of the digital ink data; receiving an input item; and recognizing the input item with the unified digital ink recognizer to output a value associated with one of the two or more different types of the digital ink data. 19. The method of claim 16 further comprising, defining at least one custom item that the unified recognizer will recognize and mapping the custom item to a private use area of Unicode.