Multifeature Face Template Protection Method Based on Double Random Phase Coding

Bo Zhang; Yuqiang Tong

doi:10.3788/LOP202259.1811005

Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1811005(2022)

Multifeature Face Template Protection Method Based on Double Random Phase Coding

Bo Zhang^1,2、* and Yuqiang Tong¹

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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Abstract Get PDF(in Chinese)

Figures & Tables(13)

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

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Fig. 2. Scrambling restoration of ORL database. (a) Original image; (b) image scrambled by the proposed scrambling algorithm; (c) restored image

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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

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Fig. 4. Scrambling restoration of EYaleB database. (a) Original image; (b) image scrambled by the proposed scrambling algorithm; (c) restored image

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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

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Fig. 6. Scrambling stability map

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Fig. 7. Relationship between number of iterations and recognition rate. (a) ORL database; (b) EYaleB database

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Fig. 8. Similarity number distribution graph of two templates generated with different keys

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Table 1. Matrix adjacent position correlation at each stage of the improved fourth-order magic square transformation
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Table 1. Matrix adjacent position correlation at each stage of the improved fourth-order magic square transformation
Parameter Original matrix Unmodified transformation matrix Improved transformation matrix
Degree of correlation between adjacent locations -1.0000 0.3398 0.2653

Table 2. Periodic experimental demonstration result
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Table 2. Periodic experimental demonstration result
k Is it periodic
10 No
50 No
100 No
1000 No
2000 No

Table 3. Comparison result of different algorithms

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Table 3. Comparison result of different algorithms

Algorithm	Degree 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.［27］	0.0379
Algorithm in Ref.［28］	0.0183

Table 4. Comparison of recognition rate of different methods
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Table 4. Comparison of recognition rate of different methods
Parameter Method in Ref.［29］ Method in Ref.［30］ Proposed method（ORL） Proposed method（EYaleB）
GAR /% 96.00 96.37 97.12 96.90

Table 5. EER comparison of different methods
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Table 5. EER comparison of different methods
Parameter Method in Ref.［21］ Method in Ref.［31］ Proposed method（ORL） Proposed method（EYaleB）
EER /% 11.85 14.53 10.97 11.02

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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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