Ottoman Script Recognition Using Hidden Markov Model

dc.contributor.authorOnat, Ayse
dc.contributor.authorYildiz, Ferruh
dc.contributor.authorGuenduez, Mesut
dc.date.accessioned2020-03-26T17:03:59Z
dc.date.available2020-03-26T17:03:59Z
dc.date.issued2006
dc.departmentSelçuk Üniversitesien_US
dc.descriptionConference of the World-Academy-of-Science-Engineering-and-Technology -- AUG 25-27, 2006 -- Prague, CZECH REPUBLICen_US
dc.description.abstractIn this study, an OCR system for segmentation, feature extraction and recognition of Ottoman Scripts has been developed using handwritten characters. Detection of handwritten characters written by humans is a difficult process. Segmentation and feature extraction stages are based on geometrical feature analysis, followed by the chain code transformation of the main strokes of each character. The output of segmentation is well-defined segments that can be fed into any classification approach. The classes of main strokes are identified through left-right Hidden Markov Model (HMM).en_US
dc.description.sponsorshipWorld Acad Sci Engn & Technolen_US
dc.identifier.endpage+en_US
dc.identifier.issn1307-6884en_US
dc.identifier.startpage71en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/20605
dc.identifier.volume14en_US
dc.identifier.wosWOS:000259632400015en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherWORLD ACAD SCI, ENG & TECH-WASETen_US
dc.relation.ispartofPROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 14en_US
dc.relation.ispartofseriesProceedings of World Academy of Science Engineering and Technology
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectChain Codeen_US
dc.subjectHMMen_US
dc.subjectOttoman Script Recognitionen_US
dc.subjectOCRen_US
dc.titleOttoman Script Recognition Using Hidden Markov Modelen_US
dc.typeConference Objecten_US

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