Shaktidev Mukherjee

Work place: Moradabad Institute of Technology, Moradabad, India



Research Interests: Models of Computation, Process Control System, Solid Modeling, Computer systems and computational processes


Prof S. Mukherjee graduated in Electrical Engineering from Patna University in 1968. After having industrial experience for couple of years, he did his Masters in Electrical Engineering from UOR in 1977 and since then is engaged in teaching in UOR and now IIT Roorkee. At present, he is professor and director at Moradabad Institute of Technology, Moradabad and had been Vice Chancellor of Mody Institute of Technology and Science, Rajasthan from 2008 to 2010. He has supervised 7 PhDs and around 35 M. Tech dissertations during his teaching career so far. His areas of interests are system modeling, application of ANN in process control and other areas, order reduction of linear systems along with computer applications in Electrical Engineering. He is senior member of technical societies like IEEE. He is reviewer of many reputed international journals and conferences.

Author Articles
Copy Move Forgery Detection in Contrast Variant Environment using Binary DCT Vectors

By Sunil Kumar J. V. Desai Shaktidev Mukherjee

DOI:, Pub. Date: 8 May 2015

Copy move forgery detection is a very popular research area and a lot of methods have been suggested by researchers. However, every method has its own merits and weaknesses and hence, new techniques are being continuously devised and analyzed. There are many post processing operations used by the manipulators to obstruct the forgery detection techniques. One such operation is changing the contrast of the whole image or copy moved regions, which many existing methods fail to address. A novel method using binary discrete cosine transform vectors is proposed to detect copy move forgery in the presence of contrast changes. The image is divided into overlapping blocks and DCT coefficients are calculated for these blocks. Feature vectors are created from these blocks using signs of the DCT coefficients. Coefficient of correlation is used to match resulting binary vectors. The experiments show that the proposed method is able to detect copy move forgery in presence of contrast changes. The proposed method is also invariant to other post processing operations like Gaussian noise, JPEG compression and little rotation and scaling. 

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