Paper
12 February 2010 An artifact-metrics which utilizes laser speckle patterns for plastic ID card surface
Author Affiliations +
Proceedings Volume 7618, Emerging Liquid Crystal Technologies V; 76180B (2010) https://doi.org/10.1117/12.842237
Event: SPIE OPTO, 2010, San Francisco, California, United States
Abstract
Artifact-metrics is an automated method of authenticating artifacts based on their measurable intrinsic characteristics such as microscopic random-patterns and the like which are emerging in their manufacturing process. They are very difficult to copy and control even for legal manufacturers. This paper describes the feasibility of an artifact-metric system using laser speckle patterns of the surface of security documents. Speckle patterns of the surface differ from each object depending on their microscopic geometry; they can be authenticated automatically by some matching algorithm that compares the input with the previously enrolled data. Our system consists of a laser diode and a CMOS camera which are attached firmly to a rigid metal frame and a matching algorithm by correlation coefficient method. To improve matching accuracy we investigate the influence of width and incident angle of the laser beam and aperture size and shooting angle for the camera on the matching accuracy through matching tests using 100 of ID cards. As a result, we found that aperture size of the camera and width of the laser are part of important factors for matching accuracy. Also, we achieved equal error rate of 0.1% using data size of 16 square pixels for speckle patterns.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Manabu Yamakoshi, Xiaoying Rong, and Tsutomu Matsumoto "An artifact-metrics which utilizes laser speckle patterns for plastic ID card surface", Proc. SPIE 7618, Emerging Liquid Crystal Technologies V, 76180B (12 February 2010); https://doi.org/10.1117/12.842237
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Speckle pattern

Cameras

CMOS cameras

Data centers

Manufacturing

Biometrics

Computer security

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