Liang, Yiqing and Guest, Richard and Fairhurst, Michael (2012) Implementing Word Retrieval in Handwritten Documents Using a Small Dataset. In: 2012 International Conference on Frontiers in Handwriting Recognition. IEEE, pp. 728-733. ISBN 978-1-4673-2262-1. (doi:10.1109/ICFHR.2012.220) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35885)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1109/ICFHR.2012.220 |
Abstract
A novel approach to the problem of keyword retrieval in cursive handwritten documents is introduced in this work. Two issues are addressed: small dataset size and uneven sample distribution across the character set. The proposed strategies utilise graphemes (fragments of a handwritten word) to implement a recognition model which is subsequently used to form the feature model for the query word.
Item Type: | Book section |
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DOI/Identification number: | 10.1109/ICFHR.2012.220 |
Uncontrolled keywords: | training; character recognition; image segmentation; testing; handwriting recognition; hidden Markov models; training data |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Tina Thompson |
Date Deposited: | 31 Oct 2013 14:02 UTC |
Last Modified: | 16 Nov 2021 10:12 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/35885 (The current URI for this page, for reference purposes) |
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