Title :
Forgery detection in digital images using Self Organizing Map
Author :
Ruth, R.M.S. ; Vanitha, L. ; Gnanaraj, F.F.
Author_Institution :
Dept. of Electron. & Commun. Eng., Sree Sastha Inst. of Eng. & Technol. Chennai, Chennai, India
Abstract :
In this paper, a passive scheme to determine the tampered region in digital images is proposed. The proposed scheme consists of splitting the image, estimation of quantization table from the peaks of the histogram of DCT coefficients, clustering the blocks using Self Organizing Map (SOM) which detects the tampered region. The variation resulting from the inconsistency of quantization table is utilized to detect tampered regions efficiently. The results show that the proposed scheme, effectively detects the tampered region.
Keywords :
digital signatures; discrete cosine transforms; image watermarking; self-organising feature maps; DCT coefficient histogram; SOM; digital images; digital signature; digital watermarking; discrete cosine transform; forgery detection; image authentication; image splitting; quantization table estimation; quantization table inconsistency utilization; self organizing map; tampered region determination; Artificial neural networks; Bridges; Earth; Estimation; Image segmentation; Radio access networks; SOM; quantization table; tampered region;
Conference_Titel :
Devices, Circuits and Systems (ICDCS), 2012 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4577-1545-7
DOI :
10.1109/ICDCSyst.2012.6188687
