Content Based Image Hashing Robust to Geometric Transformations

摘要：

An image hashing provides a compact representation of an image that can be used for authenticating that image. This paper presents a new approach for generating an image hashing that is resilient to content-preserving modifications and at the same time, is capable of detecting malicious tampering. The invariant features are extracted via DWT and Radon transform followed by log mapping and then Fourier transform. In detection, the normalized Hamming distance is employed to weigh the similarity of the image hashing. Experimental results show that the proposed method can resist insignificant modifications such as compression, moderate geometric and filtering distortions. It is also sensitive to content changing (malicious) manipulations of image data.

关键词： Image authentication Image Hashing Radon Transform Hamming distance

作者: Han-ling Zhang Cai-qiong Xiong Guang-zhi Geng

作者单位: Computer and communication college, Hunan university, Changsha, China, 410082

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 761-764

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）