A Methodology for the Separation of Foreground/Background in Arabic Historical Manuscripts using Hybrid Methods

dc.creatorBoussellaa,Wafa
dc.creatorZahour,Abderrazak
dc.creatorAlimi,Adel
dc.date2008
dc.date.accessioned2024-02-06T12:56:13Z
dc.date.available2024-02-06T12:56:13Z
dc.descriptionThis paper presents a new color document image segmentation system suitable for historical Arabic manuscripts. Our system is composed of a hybrid method which couple together background light intensity normalization algorithm and k-means clustering with maximum likelihood (ML) estimation, for foreground/ background separation. Firstly, the background normalization algorithm performs separation between foreground and background. This foreground is used in later steps. Secondly, our algorithm proceeds on luminance and distort the contrast. These distortions are corrected with a gamma correction and contrast adjustment. Finally, the new enhanced foreground image is segmented to foreground/background on the basis of ML estimation. The initial parameters for the ML method are estimated by k-means clustering algorithm. The segmented image is used to produce a final restored document image. The techniques are tested on a set of Arabic historical manuscripts documents from the National Tunisian Library. The performance of the algorithm is demonstrated on by real color manuscripts distorted with show-through effects, uneven background color and localized spot
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-014-02-0284
dc.identifierhttps://lib.jucs.org/article/28945/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9606
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 14(2): 284-298
dc.subjectsegmentation
dc.subjectrestoration
dc.subjectlight intensity normalisation
dc.subjectk-means
dc.subjectmaximum likelihood
dc.subjectforeground/background
dc.subjectArabic historical color manuscript image
dc.titleA Methodology for the Separation of Foreground/Background in Arabic Historical Manuscripts using Hybrid Methods
dc.typeResearch Article
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