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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/40437
Title: System of detection and scanning bar codes in panoramic images on raspberry PI
Authors: Dyachok, Roman
Hrytsyshyn, Oleh
Salamaha, Sergiy
Affiliation: Lviv Polytechnic National University
Bibliographic description (Ukraine): Dyachok R. System of detection and scanning bar codes in panoramic images on raspberry PI / Roman Dyachok, Oleh Hrytsyshyn, Sergiy Salamaha // Litteris et Artibus : proceedings, 23–25 November, 2017. — Lviv : Lviv Polytechnic Publishing House, 2017. — P. 392–393. — (9th International academic conference «Computer science & engineering 2017» (CSE-2017)).
Bibliographic description (International): Dyachok R. System of detection and scanning bar codes in panoramic images on raspberry PI / Roman Dyachok, Oleh Hrytsyshyn, Sergiy Salamaha // Litteris et Artibus : proceedings, 23–25 November, 2017. — Lviv : Lviv Polytechnic Publishing House, 2017. — P. 392–393. — (9th International academic conference «Computer science & engineering 2017» (CSE-2017)).
Is part of: Litteris et Artibus : матеріали, 2017
Litteris et Artibus : proceedings, 2017
Conference/Event: 7th International youth science forum «Litteris et Artibus»
Journal/Collection: Litteris et Artibus : матеріали
Issue Date: 23-Dec-2017
Publisher: Видавництво Львівської політехніки
Lviv Polytechnic Publishing House
Place of the edition/event: Львів
Lviv
Temporal Coverage: 23–25 листопада 2017 року
23–25 November, 2017
Keywords: Raspberry PI
bar code
structural scheme
algorithm
program
OpenCV
Number of pages: 2
Page range: 392-393
Start page: 392
End page: 393
Abstract: This work is focuses on the problem of detecting and scanning bar codes in panoramic images. The block diagram of a system identifying bar codes in panoramic images using Raspberry PI. The program algorithm of the system detection and scanning bar codes in panoramic images for Raspberry PI were proposed. It is established that systems can be used in industry, medicine, and in the control system.
URI: https://ena.lpnu.ua/handle/ntb/40437
ISBN: 978-966-941-108-2
Copyright owner: © Національний університет “Львівська політехніка”, 2017
References (Ukraine): [1] E. Joseph, T. Pavlidis, “Bar code waveform recognition using peaklocations”. IEEE Trans. PAMI, pp.630-640, 16 (6), 1994.
[2] W. Turin, R. Boie, “Bar code recovery via EM algorithm”. IEEE Trans. PAMI, pp.354-363, 46 (2), 1998.
[3] K. Wang, “Barcode reading from images captured by cameraphones”, IEEE COMPUTER, pp74–86. 23(4), 2005.
References (International): [1] E. Joseph, T. Pavlidis, "Bar code waveform recognition using peaklocations". IEEE Trans. PAMI, pp.630-640, 16 (6), 1994.
[2] W. Turin, R. Boie, "Bar code recovery via EM algorithm". IEEE Trans. PAMI, pp.354-363, 46 (2), 1998.
[3] K. Wang, "Barcode reading from images captured by cameraphones", IEEE COMPUTER, pp74–86. 23(4), 2005.
Content type: Conference Abstract
Appears in Collections:Litteris et Artibus. – 2017 р.

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