Ottoman Script Recognition Using Hidden Markov Model
dc.contributor.author | Onat, Ayse | |
dc.contributor.author | Yildiz, Ferruh | |
dc.contributor.author | Guenduez, Mesut | |
dc.date.accessioned | 2020-03-26T17:03:59Z | |
dc.date.available | 2020-03-26T17:03:59Z | |
dc.date.issued | 2006 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description | Conference of the World-Academy-of-Science-Engineering-and-Technology -- AUG 25-27, 2006 -- Prague, CZECH REPUBLIC | en_US |
dc.description.abstract | In 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.sponsorship | World Acad Sci Engn & Technol | en_US |
dc.identifier.endpage | + | en_US |
dc.identifier.issn | 1307-6884 | en_US |
dc.identifier.startpage | 71 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/20605 | |
dc.identifier.volume | 14 | en_US |
dc.identifier.wos | WOS:000259632400015 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.language.iso | en | en_US |
dc.publisher | WORLD ACAD SCI, ENG & TECH-WASET | en_US |
dc.relation.ispartof | PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 14 | en_US |
dc.relation.ispartofseries | Proceedings of World Academy of Science Engineering and Technology | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | Chain Code | en_US |
dc.subject | HMM | en_US |
dc.subject | Ottoman Script Recognition | en_US |
dc.subject | OCR | en_US |
dc.title | Ottoman Script Recognition Using Hidden Markov Model | en_US |
dc.type | Conference Object | en_US |