Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
On speeding candidate selection in handprinted Chinese character recognition
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Hybrid Pen-Input Character Recognition System Based on Integration of Online-Offline Recognition
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Collection and Analysis of On-line Handwritten Japanese Character Patterns
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Direction-Change Features of Imaginary Strokes for On-Line Handwriting Character Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
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This paper proposes a new approach to acceleratingspeed and increasing the recognition rate of an off-linerecognizer employed for on-line handwriting recognitionof Japanese characters. All training patterns are dividedaccording their stroke number to several groups and onesingle recognizer is dedicated for each group of patterns.Since a number of categories for a single recognizer issmaller, the speed and accuracy improves. First, we makethe model of a recognizer and show that our method cantheoretically accelerate its recognition speed to 45% of theoriginal time. Then, we employ the method to a practicallyused off-line recognizer with the result that the recognitionrate is increased from 90.73% to 91.60% and therecognition time is reduced to only 49.73% of the originalone. Another benefit of our new approach is highscalability so that the recognizer can be optimized forspeed and size or for the best accuracy.