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Barcode Recognition System Based on GPU & CPU Structure

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Peng Wang

    (Tianjin University)

  • Shan-shan Liu

    (Military Transportation University)

  • Jian-sheng Hao

    (Military Transportation University)

  • Yong Cai

    (Military Transportation University)

Abstract

Because of the low speed reading of barcode recognition system in high-resolution image, which based on image acquisition, the paper proposed a new kind of barcode recognition system structure which based on GPU & CPU parallel processing, and presented the solution of the system. At last, investigated critical technology of image noise processing in recognition system and discussed the QNLM filter arithmetic which was suitable for operating on GPU. The method not only made the processing speed faster, but also had been verified feasible.

Suggested Citation

  • Peng Wang & Shan-shan Liu & Jian-sheng Hao & Yong Cai, 2013. "Barcode Recognition System Based on GPU & CPU Structure," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 243-248, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40063-6_24
    DOI: 10.1007/978-3-642-40063-6_24
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    Keywords

    Barcode; GPU; Image processing; NLM;
    All these keywords.

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