Marginal Noise Reduction in Historical Handwritten Documents - A Survey

Chakraborty, A; Blumenstein, M

Marginal Noise Reduction in Historical Handwritten Documents - A Survey

Chakraborty, A Blumenstein, M

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 12th IAPR International Workshop on Document Analysis Systems, DAS 2016, 2016, pp. 323 - 328
Issue Date:: 2016-06-10

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Field	Value	Language
dc.contributor.author	Chakraborty, A	en_US
dc.contributor.author	Blumenstein, M https://orcid.org/0000-0002-9908-3744	en_US
dc.date.issued	2016-06-10	en_US
dc.identifier.citation	Proceedings - 12th IAPR International Workshop on Document Analysis Systems, DAS 2016, 2016, pp. 323 - 328	en_US
dc.identifier.isbn	9781509017928	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122957
dc.description.abstract	© 2016 IEEE. This paper presents a survey on different approaches for removing the marginal noise from document images, and anlaysing the research challenges of those methods relating to handwritten historical datasets. In this survey, historical documents collected from Australian Archives and Libraries are introduced and the associated layout complexities of those document images are also described. Benchmarking other historical databases related to this work is also discussed. This survey discusses the difficulties and suitability of the state-of-the-art methods to remove marginal noise as well as preserving the text content from handwritten historical documents. This survey helps researchers to identify appropriate methods according to the associated marginal noise and also illustrates their drawbacks in order to make suggestions for developing approaches, which are more general and robust for any datasets.	en_US
dc.relation.ispartof	Proceedings - 12th IAPR International Workshop on Document Analysis Systems, DAS 2016	en_US
dc.relation.isbasedon	10.1109/DAS.2016.78	en_US
dc.title	Marginal Noise Reduction in Historical Handwritten Documents - A Survey	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - QSI - Centre for Quantum Software and Information
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. This paper presents a survey on different approaches for removing the marginal noise from document images, and anlaysing the research challenges of those methods relating to handwritten historical datasets. In this survey, historical documents collected from Australian Archives and Libraries are introduced and the associated layout complexities of those document images are also described. Benchmarking other historical databases related to this work is also discussed. This survey discusses the difficulties and suitability of the state-of-the-art methods to remove marginal noise as well as preserving the text content from handwritten historical documents. This survey helps researchers to identify appropriate methods according to the associated marginal noise and also illustrates their drawbacks in order to make suggestions for developing approaches, which are more general and robust for any datasets.

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http://hdl.handle.net/10453/122957