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Robust Hierarchical GLOCAL Hash Generation based on Image Histogram  

Choi, Yong-Soo (Graduate School of Information Management & Security, Korea University)
Kim, Hyoung-Joong (Graduate School of Information Management & Security, Korea University)
Lee, Dal-Ho (Department of Electronic Engineering, Kyungwon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.48, no.1, 2011 , pp. 133-140 More about this Journal
Abstract
Recently, Web applications, such as Stock Image and Image Library, are developed to provide the integrated management for user's images. Image hash techniques are used for the image registration, management and retrieval as the identifier and many researches have been performed to raise the hash performance. This paper proposes GLOCAL image hashing method utilizing the hierarchical histogram which based on histogram bin population method. So far, many researches have proven that image hashing techniques based on histogram are robust image processing and geometrical attack. We modified existing image hashing method developed by our research team. The main idea is that it makes more fluent hash string if we have histogram bin of specific length as shown in the body of paper. Finally, we can raise the magnitude of hash string within same context or feature and strengthen the robustness of hash.
Keywords
Image Hash; Hierarchical Hash Generation; Robustness; Statistical Hypothesis Testing;
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Times Cited By KSCI : 1  (Citation Analysis)
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