Publication:
Document Image Database (2009 - 2012): A Systematic Review

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cris.author.scopus-author-id 57219421621
cris.author.scopus-author-id 57202264868
dc.contributor.author Mustafa W.A.
dc.contributor.author Abdul Kader M.M.M.
dc.date.accessioned 2025-01-13T08:24:00Z
dc.date.available 2025-01-13T08:24:00Z
dc.date.issued 2018-06-27
dc.description.abstract Document image binarization contributes significantly to the success of the document image analysis and recognition challenging tasks. Image quality can play an important role in addressing the issue of binarization effectiveness. In this paper, a comprehensive review of document database was presented. Review based on image from Document Image Binarization Contest (DIBCO) 2009 to 2012 consists handwritten and printed image. The best algorithm for each year is discussed and analysed. Implications of the review give the direction for future binarization approach developments.
dc.identifier.doi 10.1088/1742-6596/1019/1/012024
dc.identifier.scopus 2-s2.0-85049879605
dc.identifier.uri https://hdl.handle.net/20.500.14170/11978
dc.relation.grantno undefined
dc.relation.ispartof Journal of Physics: Conference Series
dc.relation.ispartofseries Journal of Physics: Conference Series
dc.relation.issn 17426588
dc.rights open access
dc.title Document Image Database (2009 - 2012): A Systematic Review
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.issue 1
oaire.citation.volume 1019
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.citation.number 012024
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.scopus-author-id 57219421621
person.identifier.scopus-author-id 57202264868
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