Quick responsive code scanner
Abstract
This work is focuses on the problem of detecting and scanning bar codes in video stream. The system identifying bar codes in panoramic images using Raspberry Pi 4 was developed. The program algorithm of the system detection and scanning bar codes video stream for Raspberry Pi was proposed. It is established that systems can be used in industry, medicine, Education and in the control system.
Keywords:
Raspberry Pi 4, algorithm.
References
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[13] R. Dyachok, O. Hrytsyshyn, and S. Salamaha, “System ofDetection and Scanning Bar Codes in Panoramic Images onRaspberry Pi, 7th International Youth Science Forum LITTERISET ARTIBUS 2017: Computer Science & Engineering (CSE-2017), 2017, pp. 430-431.
[2] M. J. Zilliox, and R. A. Irizarry, “A gene expression bar code formicroarray data”, Nature methods, vol. 4(11),2007, pp. 911.
[3] R. D. Paoletti, T. M. Suess, M. G. Lesko, A. A. Feroli, J. A.Kennel, J. M. Mahler, and T. Sauders, “Using bar-code technologyand medication observation methodology for safer medication
administration”, American journal of health-system pharmacy,vol. 64(5), 2007, pp. 536-543.
[4] Z. Chen, H. Li, and C. T. Wong, “An application of bar-codesystem for reducing construction wastes”, Automation inConstruction, vol. 11(5), 2002, pp. 521-533.
[5] T. Falas, and H. Kashani, “Two-dimensional bar-code decodingwith camera-equipped mobile phones”, Fifth Annual IEEEInternational Conference on Pervasive Computing andCommunications Workshops, 2007 (PerCom Workshops' 07),2007, pp. 597-600.
[6] C. S. Hwang, “A comparative study of tax-filing methods: manual,Internet, and two-dimensional bar code”, Journal of GovernmentInformation, vol. 27(2), 2000, pp. 113-127.
[7] C. N. Yang, T. S. Chen, and M. H. Ching, “Embed additionalprivate information into two-dimensional bar codes by the visualsecret sharing scheme’, Integrated Computer-Aided Engineering,vol. 13(2), 2006, pp. 189-199.
[8] J. Z. Gao, L. Prakash, and R. Jagatesan, “Understanding 2dbarcodetechnology and applications in m-commerce-design andimplementation of a 2d barcode processing solution”, 31st AnnualInternational Computer Software and Applications ConferenceCOMPSAC 2007. vol. 2, 2007, pp. 49-56.
[9] L. Chen, H. Man, and H. Jia, “On scanning linear barcodes fromout-of-focus blurred images: a spatial domain dynamic templatematching approach”, IEEE Transactions on Image Processing,vol. 23(6), 2014, pp. 2637-2650.
[10] E. Joseph, T. Pavlidis, “Bar code waveform recognition usingpeaklocations”, IEEE Trans. PAMI, vol. 16(6) 1994, pp. 630-640.
[11] W. Turin, and R. A. Boie, “Bar code recovery via EM algorithm”,IEEE Trans. PAMI, vol. 46 (2), 1998, pp. 354-363.
[12] K. Q. Wang, “Barcode reading from images captured bycameraphones”, IEEE MobilityConference, 2005.
[13] R. Dyachok, O. Hrytsyshyn, and S. Salamaha, “System ofDetection and Scanning Bar Codes in Panoramic Images onRaspberry Pi, 7th International Youth Science Forum LITTERISET ARTIBUS 2017: Computer Science & Engineering (CSE-2017), 2017, pp. 430-431.
Published
31/08/2022
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How to Cite
M, R., & K, P. K. (2022). Quick responsive code scanner. The Journal of Multidisciplinary Research, 2(2), 30-32. https://doi.org/10.37022/tjmdr.v2i2.397
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