In the current era of digitization where to enhance the quality of images, many image editing tools are used. Thus, it is very challenging to recognize its authenticity and validates its integrity. Hence several image forensic techniques are proposed and used for the detection of forgery in digital images. This paper presents an analytical review on digital image forensic techniques for both active and passive methods. Digital image forensics is the process of analyzing digital images for evidence of tampering or manipulation. This process can be used to identify forged or altered images, detect hidden objects, or identify discrepancies between two images. This also involves the use of image analysis algorithms to identify patterns in pixel data, as well as the use of tools such as photo-editing software and forensic software to detect anomalies. Digital image forensics can be used to authenticate images, un-cover hidden information, detect malicious content, and identify the source of an image. The active forensic methods use data embedding using digital signatures and watermarking. However, passive methods use techniques for tamper detection steganalysis, etc. In this view of this different forensic methods using both active and passive techniques are reviewed analyze and compare. An exclusive comparative study along with their strength and limitations are also represented, which gives an appropriate research direction to the researchers.
Skip Nav Destination
Article navigation
11 December 2023
MACHINE LEARNING AND INFORMATION PROCESSING: PROCEEDINGS OF ICMLIP 2023
25–26 February 2023
Ranchi, India
Research Article|
December 11 2023
A methodical study on digital image forensics and counterfeit detection techniques
Bhavani Ranbida;
Bhavani Ranbida
a)
1
Department of Computer Science, Rama Devi Women’s University
, Bhubaneswar, India
a)Corresponding author: [email protected]
Search for other works by this author on:
Debabala Swain;
Debabala Swain
1
Department of Computer Science, Rama Devi Women’s University
, Bhubaneswar, India
Search for other works by this author on:
Monalisa Swain
Monalisa Swain
2
Department of Computer Science, Shailabala Women’s Auto. College
, Cuttack, India
Search for other works by this author on:
a)Corresponding author: [email protected]
AIP Conf. Proc. 2981, 020021 (2023)
Citation
Bhavani Ranbida, Debabala Swain, Monalisa Swain; A methodical study on digital image forensics and counterfeit detection techniques. AIP Conf. Proc. 11 December 2023; 2981 (1): 020021. https://doi.org/10.1063/5.0182760
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
31
Views
Citing articles via
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
Production and characterization of corncob biochar for agricultural use
Praphatsorn Rattanaphaiboon, Nigran Homdoung, et al.
Related Content
Fundamentals of text-to-image synthesis - A survey
AIP Conf. Proc. (February 2024)
Fake image detection using CNN
AIP Conf. Proc. (May 2023)
Review on regulation framework for addressing the CFSI in nuclear security systems in Indonesia
AIP Conf. Proc. (February 2024)
Hyperledger fabric and beyond: A comprehensive review of blockchain innovations in supply chain
AIP Conf. Proc. (August 2024)
Currency recognition by using image processing
AIP Conf. Proc. (March 2024)