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Proceedings Paper

ForBild: efficient robust image hashing
Author(s): Martin Steinebach; Huajian Liu; York Yannikos
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Paper Abstract

Forensic analysis of image sets today is most often done with the help of cryptographic hashes due to their efficiency, their integration in forensic tools and their excellent reliability in the domain of false detection alarms. A drawback of these hash methods is their fragility to any image processing operation. Even a simple re-compression with JPEG results in an image not detectable. A different approach is to apply image identification methods, allowing identifying illegal images by e.g. semantic models or facing detection algorithms. Their common drawback is a high computational complexity and significant false alarm rates. Robust hashing is a well-known approach sharing characteristics of both cryptographic hashes and image identification methods. It is fast, robust to common image processing and features low false alarm rates. To verify its usability in forensic evaluation, in this work we discuss and evaluate the behavior of an optimized block-based hash.

Paper Details

Date Published: 9 February 2012
PDF: 8 pages
Proc. SPIE 8303, Media Watermarking, Security, and Forensics 2012, 83030O (9 February 2012); doi: 10.1117/12.907856
Show Author Affiliations
Martin Steinebach, Fraunhofer Institute for Secure Information Technology (Germany)
Huajian Liu, Fraunhofer Institute for Secure Information Technology (Germany)
York Yannikos, Fraunhofer Institute for Secure Information Technology (Germany)

Published in SPIE Proceedings Vol. 8303:
Media Watermarking, Security, and Forensics 2012
Nasir D. Memon; Adnan M. Alattar; Edward J. Delp III, Editor(s)

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