OFF-LINE HANDWRITING RECOGNITION: A REVIEW AND EXPERIMENTS
A. W. Senior
December 1992
Computer handwriting recognition offers a new way of improving the human-computer interface and of integrating computers better into human society. A review of computer handwriting recognition aims and applications is presented, followed by a description of relevant psychological research. Previous researchers' approaches to the problems of on-line, off-line and isolated character handwriting recognition are described.
A complete system for automatic, off-line recognition of handwriting is detailed, which takes word images scanned from a handwritten page and produces word-level output. Normalisation and preprocessing methods are described and details of the recurrent error propagation network, Viterbi decoder and durational modelling used for recognition are given. Results are reported for experiments on a single-author cursive script database.
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