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Preprints of the Keldysh Institute of Applied Mathematics, 2004, 084, 29 pp. (Mi ipmp867)  

This article is cited in 1 scientific paper (total in 1 paper)

Barcodes recognition algorithms

A. A. Krasnobaev
Full-text PDF Citations (1)
Abstract: This work is dedicated to describing of developed algorithm for automatic reading bar code by using system that works with video information. Here described the main definition of bar coding technology and existing bar code reading systems. Developed algorithm is assigned to use in self-contained unit. FPGA Cyclone (Altera) and DSP Black Fin (Analog Devices) are computing parts of device. Using of FPGA allow to parallel work of algorithm for localization bar code. Filtering and averaging operation are performed simultaneously with acquisition of image. Algorithm work was modeling in software MathLab 6.5 MathWork Inc. After successful modeling it was inculcate in device. The device testing indicated high reliability and quick-action (from 6 to 12 frames per second) in bar code recognition without using artificial lighting. Therein developed scanner exceeds possibilities similar scanners Opticon and OEM, that uses artificial lighting.
Document Type: Preprint
Language: Russian
Citation: A. A. Krasnobaev, “Barcodes recognition algorithms”, Keldysh Institute preprints, 2004, 084, 29 pp.
Citation in format AMSBIB
\Bibitem{Kra04}
\by A.~A.~Krasnobaev
\paper Barcodes recognition algorithms
\jour Keldysh Institute preprints
\yr 2004
\papernumber 084
\totalpages 29
\mathnet{http://mi.mathnet.ru/ipmp867}
Linking options:
  • https://www.mathnet.ru/eng/ipmp867
  • https://www.mathnet.ru/eng/ipmp/y2004/p84
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
     
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