Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents
The posterior probabilities of candidate characters are computed based on the N-best list. The confidence parameter is estimated from the character confusion network. The proposed method outperforms those based on word confidence and text line recognition.
n-best list keyword spotting online chinese handwritten documents posterior probability confusion network confidence measure