Algorithm for optical handwritten characters recognition based on structural components extraction; 11th International Forum on Strategic Technology (IFOST 2016); Pt. 1

Algorithm for optical handwritten characters recognition based on structural components extraction; 11th International Forum on Strategic Technology (IFOST 2016); Pt. 1

Dettagli Bibliografici
Parent link:11th International Forum on Strategic Technology (IFOST 2016): 1-3 June 2016, Novosibirsk, Russiain/ Novosibirsk State Technical University.— , 2016
Pt. 1.— 2017.— [P. 355-358]
Autore principale: Khaustov P. A. Pavel Aleksandrovich
Ente Autore: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК)
Altri autori: Spitsyn V. G. Vladimir Grigorievich, Maksimova E. I.
Riassunto:Title screen
The algorithm for character topology composition has been proposed. Metrics for character graphs comparison has been suggested. The proposed algorithm has been implemented in character processing application and has been approved on MNIST handwriting characters database and writing characters examples from the forms of a unified state exam.
Режим доступа: по договору с организацией-держателем ресурса
Lingua:inglese
Pubblicazione: 2017
Serie:Information and communication technologies
Soggetti:
электронный ресурс
труды учёных ТПУ
Optical character recognition
structural components
skeletonization
handwritten characters
Lee algorithm
OCR
оптическое распознавание
распознавание символов
структурные компоненты
рукописные символы
алгоритмы
Accesso online:http://dx.doi.org/10.1109/IFOST.2016.7884126
Natura: MixedMaterials Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654563

Accesso online

http://dx.doi.org/10.1109/IFOST.2016.7884126

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