Нейросетевое выделение и распознавание автомобильных номерных знаков на изображениях со сложным фоном; Технологии Microsoft в теории и практике программирования
| Parent link: | Технологии Microsoft в теории и практике программирования.— 2014.— [С. 23-25] |
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| Résumé: | Заглавие с титульного листа. The two convolutional neural networks for car license plate recognition were presented. The first neural network allows to select car license plate on the images with complex background. The algorithm of average pixel intensity histogram was used to select characters. The second neural network allows to recognition characters on car license plate. |
| Langue: | russe |
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2014
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| Collection: | Автоматизированные системы управления и мехатроника |
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| Accès en ligne: | http://www.lib.tpu.ru/fulltext/c/2014/C28/006.pdf |
| Format: | Électronique Chapitre de livre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=609484 |
| Résumé: | Заглавие с титульного листа. The two convolutional neural networks for car license plate recognition were presented. The first neural network allows to select car license plate on the images with complex background. The algorithm of average pixel intensity histogram was used to select characters. The second neural network allows to recognition characters on car license plate. |
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