DocumentCode :
3516439
Title :
Geometric distortion signatures for printer identification
Author :
Bulan, Orhan ; Mao, Junwen ; Sharma, Gaurav
Author_Institution :
ECE Dept., Univ. of Rochester, Rochester, NY
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
1401
Lastpage :
1404
Abstract :
We present a forensic technique for analyzing a printed image in order to trace the originating printer. Our method, which is applicable for commonly used electrophotographic (EP) printers, operates by exploiting the geometric distortion that these devices inevitably introduce in the printing process. In the proposed method, first a geometric distortion signature is estimated for an EP printer. This estimate is obtained using only the images printed on the printer and without access to the internal printer controls. Once a database of printer signatures is available, the printer utilized to print a test image is identified by computing the geometric distortion signature from test image and correlating the computes signatures against the printer signatures in the database. Experiments conducted over a corpus of EP printers demonstrate that the geometric distortion signatures of test documents exhibit high correlation with the corresponding printer signatures and a low correlation with other printer signatures. The method is therefore quite promising for forensic printer identification applications. We highlight several of the capabilities and challenges for the method.
Keywords :
document image processing; electrophotography; forensic science; printers; electrophotographic printers; geometric distortion signatures; hardcopy document forensics; printer identification; Forensics; Image analysis; Image databases; Information security; Law; Legal factors; Printers; Printing; Spatial databases; Testing; Printer forensics; geometric distortion signature; hardcopy document forensics; printer identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959855
Filename :
4959855
Link To Document :
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