Text detection algorithm on real scenes images and videos on the base of discrete cosine transform and convolutional neural network / P. M. Osina, Yu. A. Bolotova, V. G. Spitsyn

Альтернативный автор-лицо: Osina, P. M., Polina Maksimovna;Bolotova, Yu. A., specialist in the field of informatics and computer technology, Postgraduate of Tomsk Polytechnic University, 1986-, Yuliya Aleksandrovna;Spitsyn, V. G., specialist in the field of informatics and computer technology, Professor of Tomsk Polytechnic University, Doctor of technical sciences, 1948-, Vladimir GrigorievichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Институт кибернетики (ИК), Кафедра информационных систем и технологий (ИСТ)Язык: английский.Резюме или реферат: 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..Примечания о наличии в документе библиографии/указателя: [References: 8 tit.].Аудитория: .Тематика: 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 Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: 8 tit.]

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.

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