Metaheuristics with optimal deep transfer learning based copy-move forgery detection technique

HIGHLIGHTS

• who: C. D. Prem Kumar from the Department of Information Technology, Hindusthan College of Engineering and Technology, Coimbatore, Tamilnadu, India have published the research work: Metaheuristics with Optimal Deep Transfer Learning Based Copy-Move Forgery Detection Technique, in the Journal: (JOURNAL)
• what: The aim of digital image forensics is to examine the existence of forgeries in the concerned images by means of employing the passive or active (blind) approaches. This study has developed an optimal deep transfer learning based copy move forgery detection (ODTLCMFD) technique for classifying the target images into the original and the . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.