Font and Turkish Letter Recognition in Images with Deep Learning

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dc.contributor.authorSevik, Aylin
dc.contributor.authorErdoğmuş, Pakize
dc.contributor.authorYalçın, Erdi
dc.date.accessioned2020-05-01T12:10:05Z
dc.date.available2020-05-01T12:10:05Z
dc.date.issued2018
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionInternational Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT) -- DEC 03-04, 2018 -- Turkish IT Author, Ankara, TURKEYen_US
dc.descriptionWOS: 000459239400012en_US
dc.description.abstractThe purpose of this article is to recognize letter and especially font from images which are containing texts. In order to perform recognition process, primarily, the text in the image is divided into letters. Then, each letter is sended to the recognition system. Results are filtered according to vowels which are most used in Turkish texts. As a result, font of the text is obtained. In order to separate letters from text, an algorithm used which developed by us to do separation. This algorithm has been developed considering Turkish characters which has dots or accent such as i, j, u, o and g and helps these characters to be perceived by the system as a whole. In order to provide recognition of Turkish characters, all possibilities were created for each of these characters and the algorithm was formed accordingly. After recognizing the each character, these individual parts are sended to the pre-trained deep convolutional neural network. In addition, a data set has been created for this pre-trained network. The data set contains nearly 13 thousands of letters with 227(star)227(star)3 size have been created with different points, fonts and letters. As a result, 100 percent of success has been attained in the training. %79.08 letter and %75 of font success has been attained in the tests.en_US
dc.description.sponsorshipGazi Univ, Minist Transportat & Infrastrucuture Turkey, Havelsan, Aselsan, BiSoft, Oracle, Proda, Netas, RStudio, Cisco, IEEE Turkey Sect, Informat & Commun Technologies Authoren_US
dc.identifier.endpage64en_US
dc.identifier.isbn978-1-7281-0472-0
dc.identifier.startpage61en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/5990
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 International Congress On Big Data, Deep Learning And Fighting Cyber Terrorism (Ibigdelft)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectdeep learningen_US
dc.subjectconvolutional neural networksen_US
dc.subjectfont recognitionen_US
dc.subjectletter recognitionen_US
dc.titleFont and Turkish Letter Recognition in Images with Deep Learningen_US
dc.typeConference Objecten_US

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