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EURASIP Journal on Image and Video Processing

Table 6 Validation accuracy for various validation sets after training on the Composite Printers data set

From: Printing and scanning investigation for image counter forensics

 

Bayar2016

Xception

Proposed model

Dell (4c)

0.6339

0.662

0.661

Xerox1 (4c)

0.6982

0.632

0.674

Xerox2 (4c)

0.5637

0.602

0.696

JPEG (4c)

0.519

0.6374

0.4972

Original (4c)

0.8063

0.9259

0.9629

  1. Bold values refer to models that perform better than the rest - to highlight the model performance - its a common practice to do this and usually helps improve readability
  2. For a complete analysis, we add additional image blocks (blocks before printing and scanning) to the composite data set, but again find that performance does not improve. Here 4c indicates that we used the restricted set of manipulations (AWGN, GB, MF, and PR) (see Sect. 4)
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