DocumentCode
2796009
Title
Electrophotographic printer identification by halftone texture analysis
Author
Ryu, Seung-Jin ; Lee, Hae-Yeoun ; Im, Dong-Hyuck ; Choi, Jung-Ho ; Lee, Heung-Kyu
Author_Institution
Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear
2010
fDate
14-19 March 2010
Firstpage
1846
Lastpage
1849
Abstract
Estimating printing source is applicable in many forensic situations. In this paper, we propose an electrophotographic printer identification scheme from its printed material, in which imperceptible halftone patterns are contained inherently. The halftone textures in each channel of CMYK domain are analyzed. We construct a histogram from angle values of linear features extracted by Hough transform. By averaging the histograms from multiple images, a printer´s reference pattern is identified. The source printer is determined by a maximum correlation value between the reference patterns and the histogram of given image. Experiments are performed on 9,000 images made by 9 printers. The result supports that the presented scheme clearly recognizes different halftone textures.
Keywords
Hough transforms; correlation methods; document image processing; electrophotography; feature extraction; identification technology; image texture; printers; CMYK domain channel; Hough transform; angle values; electrophotographic printer identification; feature extraction; forensic situations; halftone texture analysis; histograms; maximum correlation value; printed material; printing source; Digital forensics; Feature extraction; Forgery; Histograms; Image analysis; Image color analysis; Image texture analysis; Printers; Printing; Statistical analysis; Digital forensics; Hough transform; Printer identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495377
Filename
5495377
Link To Document