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The state of the art in online handwriting recognition

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3 Author(s)
C. C. Tappert ; IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA ; C. Y. Suen ; T. Wakahara

This survey describes the state of the art of online handwriting recognition during a period of renewed activity in the field. It is based on an extensive review of the literature, including journal articles, conference proceedings, and patents. Online versus offline recognition, digitizer technology, and handwriting properties and recognition problems are discussed. Shape recognition algorithms, preprocessing and postprocessing techniques, experimental systems, and commercial products are examined

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:12 ,  Issue: 8 )