QR code recognition based on image processing

2011 ◽  
Author(s):  
Yunhua Gu ◽  
Weixiang Zhang
Keyword(s):  
Image Processing ◽  
Qr Code

Research on QR code image processing on the LED screen

2021 ◽  
Author(s):  
Qian Wu ◽  
Yanxiao He ◽  
Yuxi Luo
Keyword(s):  
Image Processing ◽  
Qr Code ◽  
Code Image

scholarly journals Sistem Verifikasi Sertifikat Menggunakan Qrcode pada Central Event Information

Techno Com ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 50-63 ◽  
Author(s):  
Erick Febriyanto ◽  
Untung Rahardja ◽  
Adam Faturahman ◽  
Ninda Lutfiani
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Qr Code ◽  
Event Information

Era industri 4.0 sudah memperlihatkan perkembangan teknologi informasi yang semakin canggih. Suatu sistem informasi tentunya membutuhkan keamanan yang sangat tinggi, dan juga kemudahan serta efisiensi dalam mengakses sistem tersebut. Pada Perguruan Tinggi sertifikat termasuk ke dalam kategori dokumen yang penting bagi mahasiswa sebagai bukti bahwa mahasiswa telah mengikuti dan menjalani kegiatan akademik. Namun, penerbitan sertifikat melalui sistem CEI (Central Event Information) yang berjalan pada Perguruan Tinggi belum memiliki unsur tingkat keamanan yang cukup aman. Terdapat 2 (dua) permasalahan dalam penelitian ini yaitu verifikasi sertifikat masih konvensional dan keamanan yang rendah. Pada penelitian ini dapat diselesaikan masalah tersebut dengan cara adanya QR code pada sertifikat berbasis digital image processing. Dengan menggunakan metode penelitian pengembangan perangkat lunak dengan model prototype dan 5 (lima) studi pustaka peneliti mampu mengatasi masalah tersebut. Dari pelaksanaan penelitian tersebut diharapkan dengan adanya sistem keamanan sertifikat dengan QR code berbasis digital image processing bagi sistem CEI (Central Event Information) mampu memberikan sistem keamanan yang tinggi dan terhindar dari penggandaan data serta kecurangan yang dilakukan mahasiswa. Serta unsur keamanan untuk mempermudah pendeteksian keaslian informasi kepemilikan sertifikat yang cepat dan akurat.

scholarly journals Image Processing and QR Code Application Method for Construction Safety Management

2021 ◽  
Vol 11 (10) ◽  
pp. 4400
Author(s):  
Joon-Soo Kim ◽  
Chang-Yong Yi ◽  
Young-Jun Park
Keyword(s):  
Image Processing ◽  
Control Systems ◽  
Safety Management ◽  
Construction Safety ◽  
Geometric Transformation ◽  
Qr Code ◽  
Construction Safety Management ◽  
A Minor ◽  
The Cost ◽  
And Control

Construction safety accidents occur due to a combination of factors. Even a minor accident that could have been treated as a simple injury can lead to a serious accident or death, depending on when and where it occurred. Currently, methods for tracking worker behavior to manage such construction safety accidents are being studied. However, applying the methods to the construction site, various additional elements (e.g., sensors, transmitters, wearing equipment, and control systems) that must be additionally installed and managed are required. The cost of installation and management of these factors increases in proportion to the size of the site and the number of targets to be managed. In addition, the application of new equipment and new rules lowers the work efficiency of workers. In this paper, the following contents are described: 1) system overview, 2) image processing-QR code-based safety management target recognition methodology, and 3) object location discrimination technique applying the geometric transformation. Finally, the proposed methodology was tested to confirm the operation in the field, and the experimental results and conclusions were described in the paper.

scholarly journals A method of image processing with QR code ablated on rough and highly reflective metal surface by laser

2018 ◽  
Vol 232 ◽  
pp. 02024
Author(s):  
Jianhua Li ◽  
Zhi Shen ◽  
Chaoning Yan ◽  
Nan Dong ◽  
Haimin Liang
Keyword(s):  
Image Processing ◽  
Metal Surface ◽  
Feature Fusion ◽  
Texture Feature ◽  
Experimental Results ◽  
Qr Code ◽  
Color Feature ◽  
Laser Marking ◽  
Casting Aluminum

For the purpose of solving the tough problem of the recognition of QR code which is marked on rough and highly reflective metal surface by laser, this work proposes a method of image processing based on multi-feature fusion. This method was requested to establish the integrated feature combined by color feature, texture feature and classify pixel points by means of k-means clustering, then optimize the image of QR code by morphology, Finally, this method was applied to the QR code Laser marking on the AL97 casting aluminum ingots to recognize, then compare with the accepted method OTSU algorithm, The experimental results show that the method is effective obviously.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Analysis of the 9th November 1990 flare

2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin
Keyword(s):  
Image Processing ◽  
Two Dimensional ◽  
Temporal Behaviour ◽  
Contour Maps ◽  
Dimensional Measurements ◽  
Processing Software ◽  
Image Processing Software

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.

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