Text detection algorithm on real scenes images and videos on the base of discrete cosine transform and convolutional neural network; Control and Communications (SIBCON-2017)

Text detection algorithm on real scenes images and videos on the base of discrete cosine transform and convolutional neural network; Control and Communications (SIBCON-2017)

Бібліографічні деталі
Parent link:	Control and Communications (SIBCON-2017).— 2017.— [17082656]
Співавтор:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информационных систем и технологий (ИСТ)
Інші автори:	Osina P. M. Polina Maksimovna, Bolotova Yu. A. Yuliya Aleksandrovna, Spitsyn V. G. Vladimir Grigorievich
Резюме:	Title screen In this work we present algorithms which are applied in such task as text recognition on images and video. Proposed algorithm is based on the combination of discrete cosine transform and convolutional neural networks. Description of the applying features of discrete cosine transform for text detection is provided. We list the main advantages and disadvantages of CNN and DCT combination. Also in this article we are going to consider methods of convolution neural networks for the task of text recognition. Режим доступа: по договору с организацией-держателем ресурса
Мова:	Англійська
Опубліковано:	2017
Предмети:	электронный ресурс труды учёных ТПУ text detection discrete cosine transform artificial neural network convolution neural networks machine learning optical character recognition тексты преобразование нейронные сети машинное обучение оптическое распознавание символы
Онлайн доступ:	https://doi.org/10.1109/SIBCON.2017.7998591
Формат:	Електронний ресурс Частина з книги
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656804

Інтернет

https://doi.org/10.1109/SIBCON.2017.7998591