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Fig 1.

HE_FaceNet frame diagram.

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Fig 2.

Schematic diagram of feature template extraction.

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Fig 3.

Flow chart of system ciphertext clustering.

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Fig 4.

Flowchart of face recognition for system clustering.

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Fig 5.

HE_FaceNet error rate.

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Fig 6.

Accuracy Comparison of K-means Encryption Scheme.

(a) the number of faces is 10. (b) the number of faces is 50. (c) the number of faces is 100. (d) the number of faces is 200. (e) the number of faces is 500. (f) the number of faces is 1000.

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Fig 7.

Efficiency Test of K-means Encryption Scheme.

(a) the number of faces is 10. (b) the number of faces is 50. (c) the number of faces is 100. (d) the number of faces is 200. (e) the number of faces is 500. (f) the number of faces is 1000.

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Fig 8.

ROC curve comparison of FaceNet model with HE_FaceNet ramework.

(a) ROC curve of the FaceNet model. (b) ROC curves for HE_FaceNet schemes.

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Fig 9.

DET curve comparison of FaceNet model with HE_FaceNet ramework.

(a) DET curve of the FaceNet model. (b) DET curves for HE_FaceNet.

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Table 1.

Accuracy comparison of ciphertext recognition schemes.

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