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.departmentİZÜen_US
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 --en_US
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.en_US
dc.identifier.doi10.1109/ICDABI51230.2020.9325592
dc.identifier.isbn9781728196756
dc.identifier.scopus2-s2.0-85100475859en_US
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.en_US
dc.relation.ispartof2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjecthandwritingen_US
dc.subjectmanuscript documentsen_US
dc.subjectStaff linesen_US
dc.subjectCharacter recognitionen_US
dc.subjectDetection processen_US
dc.subjectHandwriting recognitionen_US
dc.subjectIts efficienciesen_US
dc.subjectNew approachesen_US
dc.subjectRecognition processen_US
dc.subjectIndustrial economicsen_US
dc.titleA new approach of staff lines removal for manuscript documentsen_US
dc.typeConference Object
dspace.entity.typePublication

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