Name
Abstract | ||
|---|---|---|
Column level image authentication technique is a new and efficient technique to authenticate the contents of an image. The proposed technique uses hidden digital signatures for this purpose. Individual signature is calculated from selected pixels for each column and are hidden in the designated pixels of the same column. The authentication of the image is confirmed by the comparison of the embedded and calculated signatures. The match found, validate the image contents and the failure detect manipulation in a specific column. The proposed technique preserved the size of image and does not introduce any additional data to it and save bandwidth. Along with authentication, proposed method is proficient to detect any type of manipulation made in a single or multiple column. It is sound enough to sense single bit amendment in an image. Moreover, the hidden digital signatures do not create any significant distortion to attract human visual system. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/IConAC.2018.8748967 | 2018 24th International Conference on Automation and Computing (ICAC) |
Keywords | Field | DocType |
Image Authentication,Watermarking,Digital Signatures,Manipulation Detection | Computer vision,Digital watermarking,Authentication,Human visual system model,Digital signature,Control engineering,Bandwidth (signal processing),Artificial intelligence,Pixel,Engineering,Distortion | Conference |
ISBN | Citations | PageRank |
978-1-5386-4891-9 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sahib Khan | 1 | 0 | 2.03 |
| Muneeza Wahid | 2 | 0 | 0.34 |
| Tawab Khan | 3 | 0 | 0.34 |
| Nasir Ahmad | 4 | 13 | 8.72 |
| Muhammad Haseeb Zafar | 5 | 0 | 0.34 |