DOI: 10.1007/978-3-540-85303-9_3
|View full text |Cite
|
Sign up to set email alerts
|

Survey of Scanner and Printer Forensics at Purdue University

Abstract: Abstract. This paper describes methods for forensic characterization of scanners and printers. This is important in verifying the trust and authenticity of data and the device that created it. An overview of current forensic methods, along with current improvements of these methods is presented. Near-perfect identification of source scanner and printer is shown to be possible using these techniques.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
11
0

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 22 publications
(11 citation statements)
references
References 10 publications
0
11
0
Order By: Relevance
“…It is clear from the table that the highest detection accuracy for large and small forged regions is obtained in the proposed method; however the block size used in the proposed method lies between the other two published methods. The detection accuracy for [11] is higher than that of the method used in [14] for large forged regions but its accuracy is smaller than that of [14] for small forged ones. The FA of the proposed method lies between the two other methods, but it has been detected with the highest and small false detection.…”
Section: Expermintal Resultsmentioning
confidence: 76%
See 3 more Smart Citations
“…It is clear from the table that the highest detection accuracy for large and small forged regions is obtained in the proposed method; however the block size used in the proposed method lies between the other two published methods. The detection accuracy for [11] is higher than that of the method used in [14] for large forged regions but its accuracy is smaller than that of [14] for small forged ones. The FA of the proposed method lies between the two other methods, but it has been detected with the highest and small false detection.…”
Section: Expermintal Resultsmentioning
confidence: 76%
“…The first proposed method used for forged region detection is [11] and uses the statistical feature of sensor pattern noise to identify the forged regions on only one group of tampered images. This group is similar to our first group.…”
Section: Expermintal Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Several uses of intrinsic features have been presented in previous publications: printer identification, the process of assigning a printout to a unique printer or a printer type, has been intensively studied by different groups. Mikkilineni et al [8][9][10] present a set of gray scale features that is used to determine the type of laser printer that was used to print a document. Schreyer et al [11][12][13] worked on detecting the printing technique used to print a document.…”
mentioning
confidence: 99%