scholarly journals Block-Based Scheme for Database Integrity Verification

2014 ◽  
Vol 8 (6) ◽  
pp. 25-40 ◽  
Author(s):  
Lancine Camara ◽  
Junyi Li ◽  
Renfa Li ◽  
Faustin Kagorora ◽  
Damien Hanyurwimfura
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Xu Zhang ◽  
Xilin Liu ◽  
Yang Chen ◽  
Huazhong Shu

A new blind integrity verification method for medical image is proposed in this paper. It is based on a new kind of image features, known as Krawtchouk moments, which we use to distinguish the original images from the modified ones. Basically, with our scheme, image integrity verification is accomplished by classifying images into the original and modified categories. Experiments conducted on medical images issued from different modalities verified the validity of the proposed method and demonstrated that it can be used to detect and discriminate image modifications of different types with high accuracy. We also compared the performance of our scheme with a state-of-the-art solution suggested for medical images—solution that is based on histogram statistical properties of reorganized block-based Tchebichef moments. Conducted tests proved the better behavior of our image feature set.


2013 ◽  
Vol 133 (10) ◽  
pp. 1976-1982 ◽  
Author(s):  
Hidetaka Watanabe ◽  
Seiichi Koakutsu ◽  
Takashi Okamoto ◽  
Hironori Hirata

2016 ◽  
Vol E99.B (12) ◽  
pp. 2550-2558
Author(s):  
Sung-Hwa LIM ◽  
Yeo-Hoon YOON ◽  
Young-Bae KO ◽  
Huhnkuk LIM

2014 ◽  
Vol 1 (2) ◽  
pp. 25-31
Author(s):  
T. Subha ◽  
◽  
S. Jayashri ◽  

2019 ◽  
Vol 20 (4) ◽  
pp. 300-309 ◽  
Author(s):  
Yuan Gao ◽  
Ying-lan Gong ◽  
Ling Xia ◽  
Ding-chang Zheng
Keyword(s):  

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