White Papers

Using Recognition Alternates

• Tags:
• collection,
• recognition,
• handwriting,
• alternates

Overview Because there are so many variations between individuals' handwriting, handwriting recognizers may convert handwriting into text that is different than what the user intended. When a Recognizer performs recognition on a Strokes collection, the Recognizer finds the most likely set of words that the handwriting represents. In addition, the Recognizer also finds sets of alternative recognition matches, which are stored in a RecognitionAlternates collection. To allow a user to take advantage of recognition alternates, one must create a user interface that allows the user to select the correct RecognitionAlternate. This paper describes how to use recognition alternates.

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