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Histogram-based image hashing scheme robust against geometric deformations
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International Multimedia Conference archive
Proceedings of the 9th workshop on Multimedia & security table of contents
Dallas, Texas, USA
SESSION: Hashing table of contents
Pages: 121 - 128  
Year of Publication: 2007
ISBN:978-1-59593-857-2
Authors
Shijun Xiang  Korea University, Seoul, South Korea
Hyoung-Joong Kim  Korea University, Seoul, South Korea
Jiwu Huang  Sun Yat-Sen University, Guangzhou, China
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we propose a robust image hash algorithm by using the invariance of the image histogram shape to geometric deformations. Robustness and uniqueness of the proposed hash function are investigated in detail by representing the histogram shape as the relative relations in the number of pixels among groups of two different bins. It is found from extensive testing that the histogram-based hash function has a satisfactory performance to various geometric deformations, and is also robust to most common signal processing operations thanks to the use of Gaussian kernel low-pass filter in the preprocessing phase.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Shijun Xiang: colleagues
Hyoung-Joong Kim: colleagues
Jiwu Huang: colleagues