Realization of character recognition application on text images by convolutional neural network

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dc.contributor.authorSomuncu, Ebru
dc.contributor.authorAtasoy, Nesrin Aydin
dc.date.accessioned2024-09-29T16:06:30Z
dc.date.available2024-09-29T16:06:30Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn the literature, effective and common technology used for in door navigation has not been found. For the solution of the problem, recognition of the text images used indoors and determination of the current location according to the images seems to be the most feasible solution. In this study, deep learning methods, which are used successfully in many fields, were used to recognize signage images used in interior spaces. The created model extracts high-level features such as corners and edges in the images with the Convolutional Neural Network. Next, the sequencing properties of the letters are preserved with the Recurrent Neural Network-Based Bidirectional Long-Short-Term Memory. The Connectionist Temporal Classification approach is used to solve the repetitions and other problems in the sequence. Mistakes in words created with the characters generated by the trained model are improved using Levenshtein distance. The success of the model in the tests performed with the Synth90k data set was 96%, and the success in Turkish images with the same character set of the model trained with the Sytnh90kwas 93%. The results obtained demonstrate the success of the proposed approach.en_US
dc.identifier.doi10.17341/gazimmfd.866552
dc.identifier.endpage27en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85119936444en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage17en_US
dc.identifier.trdizinid1064187en_US
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.866552
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1064187
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6873
dc.identifier.volume37en_US
dc.identifier.wosWOS:000719285900001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isotren_US
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCharacter recognitionen_US
dc.subjectconvolutional recurrent neural networken_US
dc.subjectdeep learningen_US
dc.subjectlevenshtein distanceen_US
dc.subjectrecurrent neural networken_US
dc.titleRealization of character recognition application on text images by convolutional neural networken_US
dc.title.alternativeEvrişimli tekrarlayan sinir ağı ile metin görüntüleri üzerinde karakter tanıma uygulaması gerçekleştirilmesien_US
dc.typeArticleen_US

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