Algorithm for optical handwritten characters recognition based on structural components extraction

Algorithm for optical handwritten characters recognition based on structural components extraction

Bibliographic Details
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]
Main Author:	Khaustov P. A. Pavel Aleksandrovich
Corporate Author:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК)
Other Authors:	Spitsyn V. G. Vladimir Grigorievich, Maksimova E. I.
Summary:	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
Published:	2017
Series:	Information and communication technologies
Subjects:	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
Online Access:	http://dx.doi.org/10.1109/IFOST.2016.7884126
Format:	Electronic Book Chapter
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