| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2021 |
| Язык | английский |
|
Каюмов Зуфар Дамирович, автор
Мосин Сергей Геннадьевич, автор
Тумаков Дмитрий Николаевич, автор
|
| Библиографическое описание на языке оригинала |
Kayumov Z, Tumakov D, Mosin S., Recognition of Handwritten Digits Based on Images Spectrum Decomposition//2021 23rd International Conference on Digital Signal Processing and its Applications, DSPA 2021. - 2021. - Vol., Is.. - . |
| Аннотация |
Recognition of handwritten digits by convolutional neural network (CNN) using Fourier transforms of images as a preprocessing is considered. An algorithm of image preprocessing for effective CNN training and handwritten digits recognition is proposed. A discrete two-dimensional Fourier transform is applied to the original images. The real and imaginary parts are separated from the obtained complex values, as well as the amplitude and phase are calculated. Convolutional neural network is trained on the resulting characteristics obtained after Fourier transform. The proposed approach is tested on the MNIST database. The effects of image preprocessing using spectral decomposition and application of obtained different essential characteristics on the errors of handwritten digits recognition are estimated. |
| Ключевые слова |
handwritten digit, recognition, Fourier transform, MNIST |
| Название журнала |
2021 23rd International Conference on Digital Signal Processing and its Applications, DSPA 2021
|
| URL |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115949739&doi=10.1109%2fDSPA51283.2021.9535947&partnerID=40&md5=231a2a702c7890dce350bfa5df3d2366 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=258364 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Каюмов Зуфар Дамирович |
ru_RU |
| dc.contributor.author |
Мосин Сергей Геннадьевич |
ru_RU |
| dc.contributor.author |
Тумаков Дмитрий Николаевич |
ru_RU |
| dc.date.accessioned |
2021-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2021-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2021 |
ru_RU |
| dc.identifier.citation |
Kayumov Z, Tumakov D, Mosin S., Recognition of Handwritten Digits Based on Images Spectrum Decomposition//2021 23rd International Conference on Digital Signal Processing and its Applications, DSPA 2021. - 2021. - Vol., Is.. - . |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=258364 |
ru_RU |
| dc.description.abstract |
2021 23rd International Conference on Digital Signal Processing and its Applications, DSPA 2021 |
ru_RU |
| dc.description.abstract |
Recognition of handwritten digits by convolutional neural network (CNN) using Fourier transforms of images as a preprocessing is considered. An algorithm of image preprocessing for effective CNN training and handwritten digits recognition is proposed. A discrete two-dimensional Fourier transform is applied to the original images. The real and imaginary parts are separated from the obtained complex values, as well as the amplitude and phase are calculated. Convolutional neural network is trained on the resulting characteristics obtained after Fourier transform. The proposed approach is tested on the MNIST database. The effects of image preprocessing using spectral decomposition and application of obtained different essential characteristics on the errors of handwritten digits recognition are estimated. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
handwritten digit |
ru_RU |
| dc.subject |
recognition |
ru_RU |
| dc.subject |
Fourier transform |
ru_RU |
| dc.subject |
MNIST |
ru_RU |
| dc.title |
Recognition of Handwritten Digits Based on Images Spectrum Decomposition |
ru_RU |
| dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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