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

Opis bibliograficzny
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]
1. autor: Khaustov P. A. Pavel Aleksandrovich
Korporacja: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК)
Kolejni autorzy: Spitsyn V. G. Vladimir Grigorievich, Maksimova E. I.
Streszczenie: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
Język:angielski
Wydane: 2017
Seria:Information and communication technologies
Hasła przedmiotowe:
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
Dostęp online:http://dx.doi.org/10.1109/IFOST.2016.7884126
Format: Elektroniczne Rozdział
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654563

Internet

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

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