Text detection algorithm on real scenes images and videos on the base of discrete cosine transform and convolutional neural network

Polina M. Osina, Yuliya A. Bolotova, Vladimir G. Spitsyn

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикации2017 International Siberian Conference on Control and Communications, SIBCON 2017 - Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781509010806
DOI
СостояниеОпубликовано - 31 июл 2017
Событие2017 International Siberian Conference on Control and Communications, SIBCON 2017 - Astana, Казахстан
Продолжительность: 29 июн 201730 июн 2017

Конференция

Конференция2017 International Siberian Conference on Control and Communications, SIBCON 2017
СтранаКазахстан
ГородAstana
Период29.6.1730.6.17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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  • Цитировать

    Osina, P. M., Bolotova, Y. A., & Spitsyn, V. G. (2017). Text detection algorithm on real scenes images and videos on the base of discrete cosine transform and convolutional neural network. В 2017 International Siberian Conference on Control and Communications, SIBCON 2017 - Proceedings [7998591] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBCON.2017.7998591