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Preprints of the Keldysh Institute of Applied Mathematics, 2004, 084, 29 pp.
(Mi ipmp867)
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This article is cited in 1 scientific paper (total in 1 paper)
Barcodes recognition algorithms
A. A. Krasnobaev
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.
Citation:
A. A. Krasnobaev, “Barcodes recognition algorithms”, Keldysh Institute preprints, 2004, 084, 29 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp867 https://www.mathnet.ru/eng/ipmp/y2004/p84
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Statistics & downloads: |
Abstract page: | 387 | Full-text PDF : | 97 |
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