Fusion of handcrafted and deep features for forgery detection in digital images

HIGHLIGHTS

• who: KRISHAN KUMAR and colleagues from the University Institute of Engineering Technology, Panjab University, Chandigarh, India have published the research work: Fusion of Handcrafted and Deep Features for Forgery Detection in Digital Images, in the Journal: (JOURNAL)
• what: The aim of this approach is to further escalate the detection accuracy pushing it near 100%. The experiments were also conducted by using Cb and Cr channels in the preprocessing step. The major reason for that is the difference 99752 between the two datasets. The experiments demonstrated that the manually engineered Markov features based on transitional probabilities . . .
  

   

  

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