Acta Optica Sinica, Volume. 37, Issue 10, 1010001(2017)

A Fast Image Correction Method for Multi-Target QR Codes

Weili Ding1, Mingkui Wang1、*, Zhao Gu1, and Wenfeng Wang2
Author Affiliations
  • 1 1School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
  • 2 2School of Vehicles and Energy, Yanshan University, Qinhuangdao, Hebei 066004, China
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    Figures & Tables(11)
    Symbolic characteristics of QR codes. (a) Structure of QR codes; (b) detection patterns
    Results comparison of QR codes binarization. (a) Original images of QR codes; (b) Otsu algorithm; (c) the proposed algorithm
    Search the central point of detection pattern. (a) Line scan; (b) column scan; (c) adjust to the center position; (d) judge the relationship between S1 and S2
    Position relationship of QR codes in the image
    Search of QR codes vertices. (a) Position analysis of detection pattern points; (b) contour tracing start point; (c) vertices of detection patterns; (d) the fourth vertex
    Inverse perspective transformation
    Correction results in different environments. (a) Normal illumination; (b) low light environment; (c) complex background environment
    Correction results of fuzzy image. (a) Light fuzzy; (b)(c) fuzzy
    Analysis of different algorithms. (a) Ref. [5] algorithm; (b) Ref. [13] algorithm; (c) Ref. [8] algorithm
    • Table 1. Comparison of computational time and recognition rate of multi QR codes correction algorithms

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      Table 1. Comparison of computational time and recognition rate of multi QR codes correction algorithms

      AlgorithmAverage execution time /msRecognition rate /%
      Group 1Group 2Group 3Group 1Group 2Group 3
      Ref. [9] algorithm96.87963.77679.216857877
      Proposed algorithm32.49722.32827.164929088
    • Table 2. Comparison of calculation time and recognition rate of single QR code correction algorithms

      View table

      Table 2. Comparison of calculation time and recognition rate of single QR code correction algorithms

      AlgorithmAverage execution time /msRecognition rate /%
      Group 1Group 2Group 3Group 1Group 2Group 3
      Ref. [5] algorithm37.62336.87938.264706143
      Ref. [8] algorithm34.42332.66737.213827664
      Ref. [13] algorithm29.41427.01628.864847851
      Proposed algorithm11.21310.46411.625939189
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    Weili Ding, Mingkui Wang, Zhao Gu, Wenfeng Wang. A Fast Image Correction Method for Multi-Target QR Codes[J]. Acta Optica Sinica, 2017, 37(10): 1010001

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    Paper Information

    Category: Image Processing

    Received: Apr. 20, 2017

    Accepted: --

    Published Online: Sep. 7, 2018

    The Author Email: Mingkui Wang (wang_mk@yeah.net)

    DOI:10.3788/AOS201737.1010001

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