An Encoder–Decoder Architecture within a Classical Signal-Processing Framework for Real-Time Barcode Segmentation

In this work, two methods are proposed for solving the problem of one-dimensional barcode segmentation in images, with an emphasis on augmented reality (AR) applications. These methods take the partial discrete Radon transform as a building block. The first proposed method uses overlapping tiles for...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 23; no. 13; p. 6109
Main Authors:	Gómez-Cárdenes, Óscar, Marichal-Hernández, José Gil, Son, Jung-Young, Pérez Jiménez, Rafael, Rodríguez-Ramos, José Manuel
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 03.07.2023 MDPI
Subjects:	Accuracy Algorithms Augmented Reality Bar codes barcodes Camcorders Cameras Datasets Deep learning encoder–decoder Image Processing, Computer-Assisted - methods Localization Machine learning Methods multiscale DRT Neural networks Neural Networks, Computer pixelwise segmentation Radon transform scale-space methods Semantics Sensors scale-space methods classical signal processing encoder–decoder Radon transform barcodes multiscale DRT pixelwise segmentation
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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