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Table 6 Realistic performance of the individual detectors and fusion approaches with the adaptive decision thresholds and fusion weights based on the estimated EER with the combined LondonDB/UtrechtDB/Alabama datasets (best result per morph type marked in bold)

From: Potential advantages and limitations of using information fusion in media forensics—a discussion on the example of detecting face morphing attacks

  

SC1

SC2

Detector

Morph type

BPCER

APCER

HTER

BPCER

APCER

HTER

DArXivMC

Combined

30.08%

0.01%

15.04%

20.79%

0.89%

10.84%

DArXivNaive

 

19.21%

0.03%

9.62%

20.34%

0.50%

10.42%

DBIOSIGMC

 

39.76%

0.35%

20.05%

37.03%

4.51%

20.77%

DBIOSIGNaive

 

34.18%

0.65%

17.41%

33.76%

3.29%

18.52%

Dkeypoints

 

47.95%

1.15%

24.55%

73.17%

0.26%

36.72%

FM

 

26.81%

0.01%

13.41%

29.14%

0.42%

14.78%

FWLC

 

0.60%

10.87%

5.73%

0.30%

46.48%

23.39%

FDST

 

25.17%

0.02%

12.59%

33.53%

0.01%

16.77%

FLR

 

14.00%

0.09%

7.04%

14.31%

1.90%

8.10%

DArXivMC

Complete

30.08%

0.00%

15.04%

20.79%

0.63%

10.71%

DArXivNaive

 

19.21%

0.02%

9.61%

20.34%

0.35%

10.34%

DBIOSIGMC

 

39.76%

0.38%

20.07%

37.03%

3.45%

20.24%

DBIOSIGNaive

 

34.18%

0.44%

17.31%

33.76%

2.46%

18.11%

Dkeypoints

 

47.95%

1.13%

24.54%

73.17%

0.09%

36.63%

FM

 

26.81%

0.01%

13.41%

29.14%

0.23%

14.68%

FWLC

 

0.60%

10.30%

5.45%

0.30%

41.15%

20.72%

FDST

 

25.17%

0.02%

12.59%

33.53%

0.02%

16.77%

FLR

 

14.00%

0.05%

7.02%

14.31%

1.30%

7.80%

DArXivMC

Splicing

30.08%

0.03%

15.05%

20.79%

1.38%

11.08%

DArXivNaive

 

19.21%

0.05%

9.63%

20.34%

0.64%

10.49%

DBIOSIGMC

 

39.76%

1.11%

20.44%

37.03%

8.60%

22.82%

DBIOSIGNaive

 

34.18%

1.07%

17.62%

33.76%

4.35%

19.05%

Dkeypoints

 

47.95%

0.78%

24.36%

73.17%

0.25%

36.71%

FM

 

26.81%

0.01%

13.41%

29.14%

0.65%

14.89%

FWLC

 

0.60%

17.18%

8.89%

0.30%

56.84%

28.57%

FDST

 

25.17%

0.01%

12.59%

33.53%

0.03%

16.78%

FLR

 

14.00%

0.26%

7.13%

14.31%

3.53%

8.92%