Interactive knowledge discovery for baseline estimation and word segmentation in handwritten arabic text

AlKhateeb, J. H. and Jiang, J. and Ren, Jinchang and Ipson, S.; Strangio, Maurizio A, ed. (2009) Interactive knowledge discovery for baseline estimation and word segmentation in handwritten arabic text. In: Recent advances in technologies. InTech. ISBN 978-953-307-017-9 (https://doi.org/10.5772/7428)

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Abstract

Electronic document management systems provide great benefits to society. Software tools such as word processors are used in generation, storage, and retrieval of documents in specific formats. Using such tools, documents can be edited, printed, or distributed electronically across networks. However, with paper documents, the previous tasks cannot be accomplished by computers, so there is a need to extract the information in documents to store them in a computerized format. Handwritten text recognition has significant potential.

ORCID iDs

AlKhateeb, J. H., Jiang, J., Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194 and Ipson, S.; Strangio, Maurizio A
CORE (COnnecting REpositories)