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

fYear

2012

fDate

15-16 March 2012

Firstpage

699

Lastpage

703

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Devices, Circuits and Systems (ICDCS), 2012 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4577-1545-7

Type

conf

DOI

10.1109/ICDCSyst.2012.6188687

Filename

6188687