Method for binary contour images vectorization of handwritten characters for recognition by detector neural networks

dc.contributor.authorParzhin, Yu. V.en
dc.contributor.authorGalkyn, Sergiien
dc.contributor.authorSobol, Maksymen
dc.date.accessioned2022-12-08T12:20:29Z
dc.date.available2022-12-08T12:20:29Z
dc.date.issued2022
dc.description.abstractThis paper describes the developed method for binary contour images vectorization of handwritten characters for recognition by detector neural networks. A description of the software that implements the developed method is given.en
dc.description.abstractОписывается разработанный метод векторизации двоичных контурных изображений рукописных символов для распознавания нейронными сетями детекторного типа. Приводится описание программного обеспечения, реализующего разработанный метод.ru
dc.identifier.citationParzhin Yu. Method for binary contour images vectorization of handwritten characters for recognition by detector neural networks / Yu. Parzhin, S. Galkyn, M. Sobol // 2022 IEEE 3rd KhPI Week on Advanced Technology (KhPI Week) : conf. proc., October 03-07, 2022, Kharkiv, Ukraine / org. comm.: Ye. Sokol [et al.]. – Kharkiv : IEEE, 2022. – 6 p.en
dc.identifier.doihttps://doi.org/10.1109/KhPIWeek57572.2022.9916331
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/59937
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers, Inc.en
dc.subjectdetector neural networksen
dc.subjectvectorizationen
dc.subjecthandwriting recognitionen
dc.subjectдетекторные нейронные сетиru
dc.subjectвекторизацияru
dc.subjectраспознавание рукописных символовru
dc.titleMethod for binary contour images vectorization of handwritten characters for recognition by detector neural networksen
dc.title.alternativeМетод векторизации двоичных контурных изображений рукописных символов для распознавания нейронными сетями детекторного типаru
dc.typeThesisen

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