IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Classifier Combination Methodologies for Different Output Levels
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
The IRESTE On/Off (IRONOFF) Dual Handwriting Database
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
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
Initialization of hidden Markov models for unconstrained on-line handwriting recognition
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 06
Discriminant Substrokes for Online Handwriting Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
IAM-OnDB - an On-Line English Sentence Database Acquired from Handwritten Text on a Whiteboard
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Recognition-directed recovering of temporal information from handwriting images
Pattern Recognition Letters
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Recent results of online Japanese handwriting recognition and its applications
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Bi-modal handwritten text recognition (BiHTR) ICPR 2010 contest report
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
A neural network model for online handwritten mathematical symbol recognition
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Handwriting beautification using token means
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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This work describes an online handwriting recognition system working in combination with an offline recognizer. The online input data is first transcribed by theonline recognizer, then converted into an offline bitmapand recognized by the offline system. The outputs ofthe two recognizers are then combined probabilisticallyresulting in a classifier out-performing both individualsystems. Experiments were performed over a databaseof single digits. The error rate of the online recognizeris reduced by 43% when the combination with the offlinesystem is applied.