Recent advancements in machine vision methods for product code recognition: A systematic review [version 1; peer review: 2 approved]
Background: Manufacturing markings printed on products play an important role in the handling and use of pharmaceuticals and perishable foods. Currently, optical character recognition, neural networks, deep learning-based methods, and combinations of these methods are used to recognize these codes....
Main Authors: | Pekka Toivanen, Jarmo Koponen, Keijo Haataja |
---|---|
Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2022-09-01
|
Series: | F1000Research |
Subjects: | |
Online Access: | https://f1000research.com/articles/11-1099/v1 |
Similar Items
-
Machine vision situations: Tracing distributed agency [version 2; peer review: 3 approved]
by: Ragnhild Solberg, et al.
Published: (2024-03-01) -
Subject playing with flat images: Transmedia spreadability of anime and manga character images [version 2; peer review: 2 approved]
by: Kohki Watabe
Published: (2023-10-01) -
Handwritten Character Recognition to Obtain Editable Text
by: Pravalika Jella, et al.
Published: (2023-01-01) -
UNICORNS: Uveitis in childhood prospective national cohort study protocol [version 2; peer review: 2 approved, 1 approved with reservations]
by: Rachel Knowles, et al.
Published: (2023-08-01) -
PSB - Test UNSILO [version 1; peer review: 2 approved]
by: Paul Bourner
Published: (2022-10-01)