Estimation of Inkjet Printer Spur Gear Teeth Number from Pitch Data String of Limited Length

In this paper, we investigate the feasibility of estimating the number of inkjet printer spur gear teeth from pitch data strings of limited length by maximum entropy spectral analysis. The purpose of this study is to improve the efficiency of inkjet printer model identification based on spur mark comparison in the field of forensic document analysis. Experiments were performed using two spur gears in different color inkjet printer models, and eight different lengths of pitch data strings--ranging from three to 10 times the number of spur gear teeth. The result for a data string longer than five times the number of teeth showed a proper estimation within a deviation of one tooth. However, the estimation failed for shorter data strings because the order in maximum entropy analysis was determined inappropriately. The presented results provide information on the number of spur gear teeth from shorter data strings than in a previous study.

[1]  J. P. Burg,et al.  Maximum entropy spectral analysis. , 1967 .

[2]  R N Totty,et al.  Defect marks and the identification of photocopying machines. , 1981, Journal - Forensic Science Society.

[3]  Joseph D. Nicol,et al.  An Introduction to Tool Marks, Firearms, and the Striagraph , 1959 .

[4]  Julien J. Mason,et al.  The Individuality of Toolmarks Produced by a Label Maker Used to Write Extortion Notes , 1987 .

[5]  Gerald M LaPorte.  The use of an electrostatic detection device to identify individual and class characteristics on documents produced by printers and copiers--a preliminary study. , 2004, Journal of forensic sciences.

[6]  F James Gerhart.  Identification of Photocopiers from Fusing Roller Defects , 1992 .

[7]  A. Larsen.  Review of: On-Site Drug Testing , 2004 .

[8]  H. Akaike.  A new look at the statistical model identification , 1974 .

[9]  Jan P. Allebach,et al.  Survey of Scanner and Printer Forensics at Purdue University , 2008, IWCF.

[10]  Yoshinori Akao,et al.  Discrimination of inkjet-printed counterfeits by spur marks and feature extraction by spatial frequency analysis , 2002, IS&T/SPIE Electronic Imaging.

[11]  Yoshinori Akao,et al.  Examination of spur marks found on inkjet-printed documents. , 2005, Journal of forensic sciences.

[12]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[13]  Elizabeth L. James,et al.  The Classification of Office Copy Machines from Physical Characteristics , 1987 .

[14]  Alfred I-Tsung Pan.  Advances in thermal ink-jet printing , 1998, Other Conferences.

[15]  R. A. Hardcastle.  Progressive damage to plastic printwheel typing elements , 1986 .

[16]  Thomas M. Breuel,et al.  Evaluation of Graylevel-Features for Printing Technique Classification in High-Throughput Document Management Systems , 2008, IWCF.

[17]  Thomas M. Breuel,et al.  Document Signature Using Intrinsic Features for Counterfeit Detection , 2008, IWCF.