• Laser & Optoelectronics Progress
  • Vol. 59, Issue 18, 1811005 (2022)
Bo Zhang1、2、* and Yuqiang Tong1
Author Affiliations
  • 1College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang 110142, Liaoning , China
  • 2Liaoning Key Laboratory of Industrial Intelligence Technology on Chemical Process, Shenyang 110142, Liaoning , China
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    DOI: 10.3788/LOP202259.1811005 Cite this Article Set citation alerts
    Bo Zhang, Yuqiang Tong. Multifeature Face Template Protection Method Based on Double Random Phase Coding[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1811005 Copy Citation Text show less
    Schematic of improved fourth-order magic square algorithm and scrambled images.(a) Diagram of the improved fourth-order magic square transformation rules; (b) scramble degree images at each stage of the improved fourth-order magic square transformation
    Fig. 1. Schematic of improved fourth-order magic square algorithm and scrambled images.(a) Diagram of the improved fourth-order magic square transformation rules; (b) scramble degree images at each stage of the improved fourth-order magic square transformation
    Scrambling restoration of ORL database. (a) Original image; (b) image scrambled by the proposed scrambling algorithm; (c) restored image
    Fig. 2. Scrambling restoration of ORL database. (a) Original image; (b) image scrambled by the proposed scrambling algorithm; (c) restored image
    Pixel point coordinate map in ORL database. (a) Distribution map of adjacent position points of the original image; (b) distribution map of adjacent position points of the scrambled image
    Fig. 3. Pixel point coordinate map in ORL database. (a) Distribution map of adjacent position points of the original image; (b) distribution map of adjacent position points of the scrambled image
    Scrambling restoration of EYaleB database. (a) Original image; (b) image scrambled by the proposed scrambling algorithm; (c) restored image
    Fig. 4. Scrambling restoration of EYaleB database. (a) Original image; (b) image scrambled by the proposed scrambling algorithm; (c) restored image
    Pixel point coordinate map in EYaleB database. (a) Distribution map of adjacent position points of the original image; (b) distribution map of adjacent position points of the scrambled image
    Fig. 5. Pixel point coordinate map in EYaleB database. (a) Distribution map of adjacent position points of the original image; (b) distribution map of adjacent position points of the scrambled image
    Scrambling stability map
    Fig. 6. Scrambling stability map
    Relationship between number of iterations and recognition rate. (a) ORL database; (b) EYaleB database
    Fig. 7. Relationship between number of iterations and recognition rate. (a) ORL database; (b) EYaleB database
    Similarity number distribution graph of two templates generated with different keys
    Fig. 8. Similarity number distribution graph of two templates generated with different keys
    ParameterOriginal matrixUnmodified transformation matrixImproved transformation matrix
    Degree of correlation between adjacent locations-1.00000.33980.2653
    Table 1. Matrix adjacent position correlation at each stage of the improved fourth-order magic square transformation
    kIs it periodic
    10No
    50No
    100No
    1000No
    2000No
    Table 2. Periodic experimental demonstration result
    AlgorithmDegree of correlation between adjacent locations
    Original image(ORL)0.9817
    Original image(EYaleB)-0.9822
    Proposed algorithm(ORL)0.0194
    Proposed algorithm(EYaleB)0.0187
    Original magic square(ORL)-0.3048
    Original magic square(EYaleB)0.1907
    Barker(ORL)-0.3310
    Barker(EYaleB)0.1729
    Arnold(ORL)0.2539
    Arnold(EYaleB)0.1221
    Algorithm in Ref.[270.0379
    Algorithm in Ref.[280.0183
    Table 3. Comparison result of different algorithms
    ParameterMethod in Ref.[29Method in Ref.[30Proposed method(ORL)Proposed method(EYaleB)
    GAR /%96.0096.3797.1296.90
    Table 4. Comparison of recognition rate of different methods
    ParameterMethod in Ref.[21Method in Ref.[31Proposed method(ORL)Proposed method(EYaleB)
    EER /%11.8514.5310.9711.02
    Table 5. EER comparison of different methods
    Bo Zhang, Yuqiang Tong. Multifeature Face Template Protection Method Based on Double Random Phase Coding[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1811005
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