C20. Identifying Unique Flatbed Scanner Characteristics for Matching a Scanned Image to its source

Scanner identification is the ability to discern the devices by which an image was scanned. In this paper, a new and robustness individual source scanner identification scheme is proposed. This scheme formulates a unique fingerprint for each scanner using traces of dust, dirt, and scratches over scanner platen on scanned images. A single Support Vector machine (SVM) classifier is implemented and trained using correlation features of scanned images to classify different scanners brands and different models for the same scanner brand, and a 99.68% detection accuracy is obtained. In addition, the robustness of the used individual source scanner identification scheme on resized and different resolutions scanned images is experimentally tested. The experimental results using the proposed classifier for different scanner brands and different models for the same scanner brand approved the validity, efficiency, and robustness of the proposed scheme to match the scanned image to its unique source.

[1]  Hong Cao,et al.  Image and Video Source Class Identification , 2013 .

[2]  Jan P. Allebach,et al.  Scanner identification with extension to forgery detection , 2008, Electronic Imaging.

[3]  Edward J. Delp,et al.  Scanner Identification Using Feature-Based Processing and Analysis , 2009, IEEE Transactions on Information Forensics and Security.

[4]  Nasir D. Memon,et al.  Flatbed scanner identification based on dust and scratches over scanner platen , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  Heung-Kyu Lee,et al.  Scanner identification using spectral noise in the frequency domain , 2010, 2010 IEEE International Conference on Image Processing.

[6]  Siwei Lyu,et al.  Higher-order Wavelet Statistics and their Application to Digital Forensics , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

[7]  Miroslav Goljan,et al.  Digital camera identification from sensor pattern noise , 2006, IEEE Transactions on Information Forensics and Security.

[8]  Thomas Gloe,et al.  Forensics for flatbed scanners , 2007, Electronic Imaging.

[9]  Steven J. Simske,et al.  Printer-scanner identification via analysis of structured security deterrents , 2009, 2009 First IEEE International Workshop on Information Forensics and Security (WIFS).

[10]  Edward J. Delp,et al.  Forensic Camera Classification: Verification of Sensor Pattern Noise Approach , 2009 .

[11]  Jan P. Allebach,et al.  Printer and Scanner Forensics: Models and Methods , 2010, Intelligent Multimedia Analysis for Security Applications.

[12]  Chang-Tsun Li.  Source camera identification using enhanced sensor pattern noise , 2010, IEEE Trans. Inf. Forensics Secur..

[13]  Min Wu,et al.  Robust scanner identification based on noise features , 2007, Electronic Imaging.

[14]  Nasir D. Memon,et al.  Source class identification for DSLR and compact cameras , 2009, 2009 IEEE International Workshop on Multimedia Signal Processing.

[15]  Jan P. Allebach,et al.  Forensic techniques for classifying scanner, computer generated and digital camera images , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[16]  Jan P. Allebach,et al.  Scanner identification using sensor pattern noise , 2007, Electronic Imaging.

[17]  Heung-Kyu Lee,et al.  Forged Region Detection for Scanned Images , 2012 .

[18]  Nasir D. Memon,et al.  Digital Single Lens Reflex Camera Identification From Traces of Sensor Dust , 2008, IEEE Transactions on Information Forensics and Security.

[19]  Ying Wang,et al.  On Discrimination between Photorealistic and Photographic Images , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[20]  Zeno Geradts,et al.  Methods for identification of images acquired with digital cameras , 2001, SPIE Optics East.

[21]  Mo Chen,et al.  Digital imaging sensor identification (further study) , 2007, Electronic Imaging.

[22]  Edward J. Delp,et al.  Source scanner identification for scanned documents , 2009, 2009 First IEEE International Workshop on Information Forensics and Security (WIFS).