Title :
Source scanner identification for scanned documents
Author :
Khanna, Nitin ; Delp, Edward J.
Author_Institution :
Video & Image Process. Lab., Purdue Univ., West Lafayette, IN, USA
Abstract :
Recently there has been a great deal of interest using features intrinsic to a data-generating sensor for the purpose of source identification. Numerous methods have been proposed for different problems related to digital image forensics. The goal of our work is to identify the scanner used for generating a scanned (digital) version of a printed (hard-copy) document. In this paper we describe the use of texture analysis to identify the scanner used to scan a text document. The efficacy of our proposed method is also demonstrated.
Keywords :
computer forensics; document handling; image scanners; image texture; data-generating sensor; digital image forensics; scanned documents; source scanner identification; text document; texture analysis; Cameras; Digital images; Feature extraction; Forensics; Image generation; Image sensors; Linear discriminant analysis; Sensor phenomena and characterization; Support vector machine classification; Support vector machines; document forensics; scanner forensics;
Conference_Titel :
Information Forensics and Security, 2009. WIFS 2009. First IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
978-1-4244-5279-8
Electronic_ISBN :
978-1-4244-5280-4
DOI :
10.1109/WIFS.2009.5386462
