By Sargur N. Srihari, Katrin Franke
This ebook constitutes the refereed lawsuits of the second one overseas Workshop, IWCF 2008, held in Washington, DC, united states, August 2008.
The 19 revised complete papers offered have been conscientiously reviewed and chosen from 39 submissions. The papers are prepared in topical sections on developments and demanding situations; scanner, printer, and prints; human id; shoeprints; linguistics;decision making and seek; speech research; signatures and handwriting.
Read or Download Computational Forensics: Second International Workshop, IWCF 2008, Washington, DC, USA, August 7-8, 2008. Proceedings PDF
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Extra info for Computational Forensics: Second International Workshop, IWCF 2008, Washington, DC, USA, August 7-8, 2008. Proceedings
5681, pp. 430–440 (2005) 5. : Digital camera identiﬁcation from sensor pattern noise. IEEE Transactions on Information Forensics and Security 1(2), 205–214 (2006) 6. : Determining image origin and integrity using sensor noise. IEEE Transactions on Information Forensics and Security 3(1), 74–90 (2008) 7. : Scanner identiﬁcation using sensor pattern noise. In: Proceedings of the SPIE International Conference on Security, Steganography, and Watermarking of Multimedia Contents IX. SPIE, vol. 6505, p.
Khanna et al. train\test lj5m lj6mp lj1000 lj1200 E320 ml1430 ml1450 hl1440 1250w 14e Output class 2 0 1 0 1 0 0 0 0 lj5m lj5m 296 1 6 0 17 0 0 15 5 0 lj6mp lj6mp 256 2 2 12 0 0 0 0 0 0 lj1000 lj1000 284 7 2 2 0 0 0 0 0 0 lj1200 lj1200 289 0 0 0 0 300 0 0 0 0 0 E320 E320 1 0 0 0 0 0 0 0 0 ml1430 ml1430 299 0 0 0 0 0 0 0 0 0 ml1450 ml1450 300 0 28 0 0 0 5 2 6 0 hl1440 hl1440 259 0 0 0 0 0 0 0 3 5 1250w 1250w 292 0 0 0 0 0 0 0 17 67 216 14e 14e Fig. 6. Classiﬁcation results using 300 “e”s from 12 point Times text documents Fig.
It can be observed, that features like edge dist reach higher classiﬁcation accuracy with increasing scan resolution. However, features like area diﬀ, achieve high classiﬁcation accuracy at low resolutions. Interestingly an accuracy rate of nearly 95% at 100dpi using all features in combination was reached. Single feature comparison with Decision Tree 100 area diff cooc gauss cooc lbp corr coeff edge dist edge rough gray dist all 90 Accuracy rate [%] 80 70 60 50 40 100 150 200 250 Resolution [dpi] 300 350 400 Fig.