AUTHENTICATION BASED IMAGE FORGERY DETECTION USING OPTIMIZED FEATURES IN JPEG IMAGES
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Keywords- Image Forgery, Robust feature extraction, Ant colony Approach and Neural Network
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References
L. Wang, A. Ngom, and L. Rueda. "Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem," presented at the Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics, Melbourne, Australia, 2008.
Gharehchopogh, Farhad Soleimanian, Neda Jabbari, and Zeinab Ghaffari Azar. "Evaluation of fuzzy k-means and k-means clustering algorithms in intrusion detection systems." International Journal of Scientific & Technology Research 1, no. 11 (2012).
Li, Jian, Xiaolong Li, Bin Yang, and Xingming Sun. "Segmentation-based image copy-move forgery detection scheme." IEEE Transactions on Information Forensics and Security 10, no. 3 (2015): 507-518.
Deshpande, Pradyumna, and Prashasti Kanikar. "Pixel based digital image forgery detection techniques." International Journal of Engineering Research and Applications 2, no. 3 (2012): 539-543.
Y. Zhang, C. Zhao, Y. Pi, and S. Li, "Revealing Image Splicing Forgery Using Local Binary Patterns of DCT Coefficients," in Communications, Signal Processing, and Systems. vol. 202, Q. Liang, W. Wang, J. Mu, J. Liang, B. Zhang, Y. Pi, and C. Zhao, Eds., ed: Springer New York, 2012, pp. 181-189.
S. Bayram, H. T. Sencar, and N. Memon, "An efficient and robust method for detecting copy-move forgery," in Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on, 2009, pp. 1053-1056.
Huynh, Tu K., Khoa V. Huynh, Thuong Le-Tien, and Sy C. Nguyen. "A survey on image forgery detection techniques." In Computing & Communication Technologies-Research, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on, pp. 71-76. IEEE, 2015.
Qazi, Tanzeela, Khizar Hayat, Samee U. Khan, Sajjad A. Madani, Imran A. Khan, Joanna Kołodziej, Hongxiang Li, Weiyao Lin, Kin Choong Yow, and Cheng-Zhong Xu. "Survey on blind image forgery detection." IET Image Processing 7, no. 7 (2013): 660-670.
Zandi, Mohsen, Ahmad Mahmoudi-Aznaveh, and Azadeh Mansouri. "Adaptive matching for copy-move Forgery detection." In Information Forensics and Security (WIFS), 2014 IEEE International Workshop on, pp. 119-124. IEEE, 2014.
Pandey, Ramesh Chand, Sanjay Kumar Singh, and K. K. Shukla. "Passive copy-move forgery detection in videos." In Computer and Communication Technology (ICCCT), 2014 International Conference on, pp. 301-306. IEEE, 2014.
Wahab, Ainuddin Wahid Abdul, Mustapha Aminu Bagiwa, Mohd Yamani Idna Idris, Suleman Khan, Zaidi Razak, and Muhammad Rezal Kamel Ariffin. "Passive video forgery detection techniques: a survey." In Information assurance and security (IAS), 2014 10th International Conference on, pp. 29-34. IEEE, 2014.
Fadl, Sondos M., and Noura A. Semary. "A proposed accelerated image copy-move forgery detection." In Visual Communications and Image Processing C