Text detection algorithm on real scenes images and videos on the base of discrete cosine transform and convolutional neural network
| Parent link: | Control and Communications (SIBCON-2017): proceedings of the XIII International Siberian Conference, June 29–30, 2017, Astana, Kazakhstan. [17082656].— , 2017 |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Άλλοι συγγραφείς: | , , |
| Περίληψη: | 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 |
| Έκδοση: |
2017
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| Διαθέσιμο Online: | https://doi.org/10.1109/SIBCON.2017.7998591 |
| Μορφή: | Ηλεκτρονική πηγή Κεφάλαιο βιβλίου |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656804 |
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| 200 | 1 | |a Text detection algorithm on real scenes images and videos on the base of discrete cosine transform and convolutional neural network |f P. M. Osina, Yu. A. Bolotova, V. G. Spitsyn | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 8 tit.] | ||
| 330 | |a 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. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 463 | |t Control and Communications (SIBCON-2017) |o proceedings of the XIII International Siberian Conference, June 29–30, 2017, Astana, Kazakhstan |v [17082656] |d 2017 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a text detection | |
| 610 | 1 | |a discrete cosine transform | |
| 610 | 1 | |a artificial neural network | |
| 610 | 1 | |a convolution neural networks | |
| 610 | 1 | |a machine learning | |
| 610 | 1 | |a optical character recognition | |
| 610 | 1 | |a тексты | |
| 610 | 1 | |a преобразование | |
| 610 | 1 | |a нейронные сети | |
| 610 | 1 | |a машинное обучение | |
| 610 | 1 | |a оптическое распознавание | |
| 610 | 1 | |a символы | |
| 701 | 1 | |a Osina |b P. M. |g Polina Maksimovna | |
| 701 | 1 | |a Bolotova |b Yu. A. |c Specialist in the field of informatics and computer technology |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences |f 1986- |g Yuliya Aleksandrovna |3 (RuTPU)RU\TPU\pers\33458 |9 17139 | |
| 701 | 1 | |a Spitsyn |b V. G. |c specialist in the field of informatics and computer technology |c Professor of Tomsk Polytechnic University, Doctor of technical sciences |f 1948- |g Vladimir Grigorievich |3 (RuTPU)RU\TPU\pers\33492 |9 17160 | |
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