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Off-line Cursive Handwriting Recognition using Recurrent Neural Networks (1994)
| Citations: | 22 - 1 self |
BibTeX
@MISC{Senior94off-linecursive,
author = {Andrew William Senior},
title = {Off-line Cursive Handwriting Recognition using Recurrent Neural Networks},
year = {1994}
}
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Abstract
the system and highlights the advances made before assessing where future work is most likely to bring about improvements. Key words Off-line cursive script, handwriting recognition, OCR, recurrent neural networks, forward-backward algorithm, hidden Markov models, duration modelling. Off-line handwriting recognition Declaration This thesis describes research carried out at Cambridge University Engineering Department between October 1991 and September 1994. It is the result of my own work and contains no work done in collaboration. The length of this thesis, including references and figure captions, is thirty-seven thousand words. Acknowledgements First of all, I would like to express my gratitude to the late Professor Frank Fallside, for supervising me during the first half of this thesis and for providing the original inspiration for this work. I am also indebted to Dr Tony Robinson who has supervised me admirably
Keyphrases
recurrent neural network off-line cursive handwriting recognition acknowledgement first key word off-line cursive script forward-backward algorithm recognition declaration original inspiration thirty-seven thousand word first half hidden markov model figure caption late professor frank fallside cambridge university engineering department dr tony robinson future work duration modelling
