Keystroke Characteristics Classifi cation and Recognition Method of Free Text based on the Normalized Levenshtein Distance
According to the keystroke characteristics classification and recognition method of free text based on a relative distance, also named R method, this paper proposes a keystroke characteristics classification and recognition method of free text based on the Normalized Levenshtein Distance. Through data collection, pretreatment, distance calculation, normalized processing, classification judgement and other processes, it implements this method accurately and exactly on Chinese free text. Experiments proved that this method is better than R method on classification accuracy and recognition rate.