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Quick Response Code Based on Least Significant Bit

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Big Data and Security (ICBDS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1415))

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Abstract

Quick response (QR) code design based on Least Significant Bit (LSB) image is studied. The basic principle of the research is to put the required information into the QR code first, and embed the QR code into the lowest bit of the pixels in the background image for hiding the information. If the picture information is necessary to read by obtaining the QR code picture, the lowest bit of the picture pixel is extracted through the program language, and the hidden information can be obtained by parsing the QR code picture. In this scheme, the information is put into the QR code picture, and the QR code is merged with the least significant bit of the picture. It is shown that cannot be recognized by the naked eye. This method can ensure the safety and security of the information during the transmission process. Accuracy, and greatly improve the visual aesthetics of the QR code.

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Acknowledgments

This work was supported by the Natural Science Foundation of Jiangsu Province (BK20191012); Scientific Research Foundation of Nanjing Institute of Technology (JCYJ201822, CKJB201803 and CXY201932).

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Correspondence to Cui Qin .

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Weng, Z., Zhang, J., Qin, C., Zhang, Y. (2021). Quick Response Code Based on Least Significant Bit. In: Tian, Y., Ma, T., Khan, M.K. (eds) Big Data and Security. ICBDS 2020. Communications in Computer and Information Science, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-3150-4_11

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  • DOI: https://doi.org/10.1007/978-981-16-3150-4_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-3149-8

  • Online ISBN: 978-981-16-3150-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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