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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 12, DECEMBER 2015

Survey on Recapture Detection Algorithms

Mr. Vinayak K. Shingote, Prof. Ashish Kumar

DOI: 10.17148/IJARCCE.2015.412114

Abstract: With the development of multimedia technology and digital devices, it is very easier to recapture image of high quality from LCD screens and the use of such recapture image in authentication can be harmful. An attacker may choose to recapture a forged image in order to hide imperfections and to increase its authenticity. To do forensic analysis of such images for evidence is very important. So detection of recapture images from set of images is very important in this case. In this paper we did survey of various recapture image detection algorithms with their pros and cons. Also we studied various features like aliasing, blurriness etc. of recaptured images, which can differentiate recapture image from original one.



Keywords: Multimedia Technology, LCD, Image Forensic, Recapture Detection, Aliasing, Blurriness.

How to Cite:

[1] Mr. Vinayak K. Shingote, Prof. Ashish Kumar, “Survey on Recapture Detection Algorithms,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.412114