IEEE Transactions on Pattern Analysis and Machine Intelligence
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)
Generating Realistic Kanji Character Images from On-Line Patterns
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Collection and Analysis of On-line Handwritten Japanese Character Patterns
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
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We propose a new technique for normalizing likelihood of multiple classifiers prior to their combination. During a combination process we utilize the information about their efficiency correctly recognize a character with a given stroke number. In the beginning, we show that this recognizer's efficiency based on a stroke number is different for a common on-line and off-line recognizer. Later, we demonstrate on elementary combination rules, such as sum-rule and max-rule that using this information increases a recognition rate.