Online and off-line handwriting recognition: a comprehensive survey
Plamondon, R.
Srihari, S.N.
Ecole Polytech., Montreal, Que.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jan 2000
Volume: 22,
Issue: 1
On page(s): 63-84
ISSN: 0162-8828
References Cited: 255
CODEN: ITPIDJ
INSPEC Accession Number: 6525227
Digital Object Identifier: 10.1109/34.824821
Current Version Published: 2002-08-06
Abstract
Handwriting has continued to persist as a means of communication
and recording information in day-to-day life even with the introduction
of new technologies. Given its ubiquity in human transactions, machine
recognition of handwriting has practical significance, as in reading
handwritten notes in a PDA, in postal addresses on envelopes, in amounts
in bank checks, in handwritten fields in forms, etc. This overview
describes the nature of handwritten language, how it is transduced into
electronic data, and the basic concepts behind written language
recognition algorithms. Both the online case (which pertains to the
availability of trajectory data during writing) and the off-line case
(which pertains to scanned images) are considered. Algorithms for
preprocessing, character and word recognition, and performance with
practical systems are indicated. Other fields of application, like
signature verification, writer authentification, handwriting learning
tools are also considered
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