The state of the art in online handwriting recognition
Tappert, C.C.
Suen, C.Y.
Wakahara, T.
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Aug 1990
Volume: 12,
Issue: 8
On page(s): 787-808
ISSN: 0162-8828
References Cited: 286
CODEN: ITPIDJ
INSPEC Accession Number: 3746883
Digital Object Identifier: 10.1109/34.57669
Current Version Published: 2002-08-06
Abstract
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
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