A new approach of staff lines removal for manuscript documents

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dc.authorscopusid56022326800
dc.authorscopusid55078188200
dc.authorscopusid56026467900
dc.authorscopusid49863650600
dc.contributor.authorMekhaznia, T.
dc.contributor.authorDjeddi, C.
dc.contributor.authorBensefia, A.
dc.contributor.authorJamil, A.
dc.date.accessioned2022-03-04T19:12:26Z
dc.date.available2022-03-04T19:12:26Z
dc.date.issued2020
dc.departmentİZÜ
dc.description2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020 -- 26 October 2020 through 27 October 2020 --
dc.description.abstractStaff lines detection process facilitates handwriting recognition and segmentation, especially for music symbols. It took part in various research works that allow manuscripts' recognition. In another way, staff lines removal remains a challenge for research by the fact that most document symbols are superimposed on staff lines and their removal causes the alteration of important notes and prevents the recognition process. In this paper, we present a new approach of staff lines removal, keeping intact the manuscript symbols and preserve the overall information shape. The proposed technique has been supported by various experiments where results show its efficiency and endorsed its competition against similar works. © 2020 IEEE.
dc.identifier.doi10.1109/ICDABI51230.2020.9325592
dc.identifier.isbn9781728196756
dc.identifier.scopus2-s2.0-85100475859
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ICDABI51230.2020.9325592
dc.identifier.urihttps://hdl.handle.net/20.500.12436/3201
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjecthandwriting
dc.subjectmanuscript documents
dc.subjectStaff lines
dc.subjectCharacter recognition
dc.subjectDetection process
dc.subjectHandwriting recognition
dc.subjectIts efficiencies
dc.subjectNew approaches
dc.subjectRecognition process
dc.subjectIndustrial economics
dc.titleA new approach of staff lines removal for manuscript documents
dc.typeConference Object
dspace.entity.typePublication

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