Decoding robustness performance comparison for QR and data matrix code

Kulshreshtha, Rishabh; Kamboj, Ayushi; Singh, Sanjay

doi:10.1145/2393216.2393337

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…Los resultados obtenidos por medio de la evaluación entre los códigos QR y los Data Matrix distaron de los mencionados por Rishabh (Kulshreshtha, Kamboj, & Singh, 2012), quien hace una comparación entre estos códigos. Analizando los resultados he concluido que la diferencia podría deberse al método usado para llevar a cabo la prueba; en mi caso, la prueba se realizó de una manera práctica, usando la librería ZXing para leer los dos códigos.…”

Section: Discussionunclassified

Augmenting a Science Center's Reality: A QR Code Project

Yarmey

Swartz

2012

The Reference Librarian

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Section: Discussionunclassified

Augmenting a Science Center's Reality: A QR Code Project

Yarmey

Swartz

2012

The Reference Librarian

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“…Huang et al used an edge-based detection with LSD and RANSAC algorithms to detect codes, and Gaur et al used grayscale conversion and edge detection followed by morphological operations to search connected components and segment bar codes [ 11 , 12 ]. Another edge-based approach is used by Kulshreshtha et al to perform robustness analyses of QR and data matrix codes using grayscale conversion with binary conversion and edge detection [ 21 ]. These approaches are presented for traditional markings, not for DPMs, and rely on the high contrast of the black/white code structure.…”

Section: Related Workmentioning

confidence: 99%

Reading Direct-Part Marking Data Matrix Code in the Context of Polymer-Based Additive Manufacturing

Matuszczyk

Weichert

2023

Sensors

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A novel approach to detect and decode direct-part-marked, low-contrast data matrix codes on polymer-based selective laser sintering manufactured parts, which is able to work on lightweight devices, is presented. Direct-part marking is a concept for labeling parts directly, which can be carried out during the additive manufacturing’s design process. Because of low contrast in polymer-based selective laser sintering manufactured parts, it is a challenging task to detect and read codes on unicolored parts. To achieve this, at first, codes are located using a deep-learning-based approach. Afterwards, the calculated regions of interest are passed into an image encoding network in order to compute readable standard data matrix codes. To enhance the training process, rendered images, improved with a generative adversarial network, are used. This process fulfills the traceability task in assembly line production and is suitable for running on mobile devices such as smartphones or cheap sensors placed in the assembly line. The results show that codes can be localized with 97.38% mean average precision, and a readability of 89.36% is achieved.

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“…The Data Matrix code has some potential advantages over the QR code, including the resulting size of the code required for a given length of data being smaller, and improved detection and error correction [9].…”

Section: Visual Observation Technologiesmentioning

confidence: 99%

Enabling the Secure Use of Dynamic Identity for the Internet of Things—Using the Secure Remote Update Protocol (SRUP)

2020

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This paper examines dynamic identity, as it pertains to the Internet of Things (IoT), and explores the practical implementation of a mitigation technique for some of the key weaknesses of a conventional dynamic identity model. This paper explores human-centric and machine-based observer approaches for confirming device identity, permitting automated identity confirmation for deployed systems. It also assesses the advantages of dynamic identity in the context of identity revocation permitting secure change of ownership for IoT devices. The paper explores use-cases for human and machine-based observation for authentication of device identity when devices join a Command and Control(C2) network, and considers the relative merits for these two approaches for different types of system.

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Decoding robustness performance comparison for QR and data matrix code

Cited by 6 publications

References 5 publications

Augmenting a Science Center's Reality: A QR Code Project

Augmenting a Science Center's Reality: A QR Code Project

Reading Direct-Part Marking Data Matrix Code in the Context of Polymer-Based Additive Manufacturing

Enabling the Secure Use of Dynamic Identity for the Internet of Things—Using the Secure Remote Update Protocol (SRUP)

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