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Implementing Word Retrieval in Handwritten Documents Using a Small Dataset

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
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)

University of Kent Author Information

Liang, Yiqing.

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CReDIT Contributor Roles:

Guest, Richard.

Creator's ORCID: https://orcid.org/0000-0001-7535-7336
CReDIT Contributor Roles:

Fairhurst, Michael.

Creator's ORCID:
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