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.
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Wang, P., Liu, Ss., Hao, Js., Cai, Y. (2013). Barcode Recognition System Based on GPU & CPU Structure. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40063-6_24
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DOI: https://doi.org/10.1007/978-3-642-40063-6_24
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Online ISBN: 978-3-642-40063-6
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