Acoustics, Speech, and Signal Processing, IEEE International Conference on (2009)
Apr. 19, 2009 to Apr. 24, 2009
Ahmet Emir Dirik , Polytechnic Institute of NYU, Electrical&Computer Engineering Dept., Brooklyn, NY, 11201, USA
Husrev Taha Sencar , TOBB Economics and Technology University, Computer Engineering Dept., Sogutozu, Ankara, 06560, Turkey
Nasir Memon , TOBB Economics and Technology University, Computer Engineering Dept., Sogutozu, Ankara, 06560, Turkey
In this paper, a novel individual source scanner identification scheme is proposed. The scheme uses traces of dust, dirt, and scratches over scanner platen on scanned images to characterize a source scanner. The efficacy of the proposed scheme is substantiated with experimental analysis. The robustness of the scheme to the JPEG compression is also investigated. Experimental results show that proposed scheme could be used to match a scanned image to its source.
N. Memon, A. E. Dirik and H. T. Sencar, "Flatbed scanner identification based on dust and scratches over scanner platen," Acoustics, Speech, and Signal Processing, IEEE International Conference on(ICASSP), Taipei, Taiwan, 2009, pp. 1385-1388.