DocumentCode :
3497574
Title :
Distortion metrics for predicting authentication functionality of printed security deterrents
Author :
Gaubatz, Matthew D. ; Simske, Steven J. ; Gibson, Shawn
Author_Institution :
Hewlett-Packard, Co., Colorado Springs, CO, USA
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1489
Lastpage :
1492
Abstract :
Document authentication is the process by which a unique identifier is assigned to each version of a printed document and is verified via an inspection procedure. One type of approach that has proven successful involves printing overt color-tile security deterrents, which can be scanned and analyzed to provide authenticity. For a variety of reasons discussed herein, it is advantageous to estimate whether or not a printed deterrent will authenticate without invoking the actual authentication process. Several algorithms are presented to predict the outcome of the authentication process. The area-over-the-curve (AOC) statistic is one of the tools used to characterize how well each candidate algorithm estimates authentication performance in the presence of distortions introduced via different print+scan paths. A surprising but useful result is that a no-reference metric yields the best performance: the AOC is approximately half that of all other tested methods, and is over five times smaller than the AOC achieved by state-of-the-art algorithms SSIM and VIF.
Keywords :
authorisation; distortion; document image processing; image colour analysis; image scanners; statistical analysis; area-over-the-curve statistic; authentication functionality prediction; distortion metrics; document authentication; no-reference metric; overt color-tile security deterrent printing; print-scan paths; printed document; printed security deterrents; Authentication; Distortion measurement; Image quality; Inspection; Printing; Protection; Quality assurance; Security; Testing; Tiles; Quality assurance metrics; deterrents; image size; printing and scanning; security printing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414608
Filename :
5414608
Link To Document :
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