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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)

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. (Contact us about this Publication)
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: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Tina Thompson
Date Deposited: 31 Oct 2013 14:02 UTC
Last Modified: 24 Sep 2019 12:47 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35885 (The current URI for this page, for reference purposes)
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