The State of the Art in Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-line recognition of handprinted characters: survey and beta tests
Pattern Recognition
Character recognition—a review
Pattern Recognition
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Piecewise Linear Skeletonization Using Principal Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Kalman Approach for Stroke Order Recovering from Off-Line Handwriting
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Recovery of temporal information of cursively handwritten words for on-line recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Strokes recovering from static handwriting
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Recovery of Drawing Order from Scanned Images of Multi-Stroke Handwriting
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
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Recently, many pen-based devices have enabled people to input digital ink naturally. Often, there is smear and correction when writing. This not only makes the document dirty and look unpleasant, but also affects the handwriting recognition when recognition is called for. As the first paper to address the ink cleanup problem, we present our ink cleanup system that removes the smear and correction, so that the document becomes cleaner and more legible and the handwriting recognition rate could also be improved. The algorithms are rule-based and are capable of dealing with the most common cases that may happen during writing, including self-overtracing of a single stroke, inter-overtracing between strokes, correction, touch-up, insertion and wrong writing order. Experimental results show that our system is effective in cleaning the ink note and is promising in increasing the recognition rate as well.