Commercial anticounterfeit products using machine vision

Patrick J. Smith; Phelim O'Doherty; Carlos Luna; Sean McCarthy

doi:10.1117/12.525736

3 June 2004 Commercial anticounterfeit products using machine vision

Patrick J. Smith, Phelim O'Doherty, Carlos Luna, Sean McCarthy

Proceedings Volume 5310, Optical Security and Counterfeit Deterrence Techniques V; (2004) https://doi.org/10.1117/12.525736
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

We present recent commercial anti-counterfeit projects that use machine-vision principles, to either verify genuine documents or trace the origin of counterfeits. In the first case we show how the characteristic nature of a reflection hologram, as used on a credit card, can be used to verify it quickly and economically. Many counterfeit holograms can be discriminated from a genuine example by a two-step test: first, that the visible object displayed by the hologram has the correct form when viewed at a given angle, and second, that the object changes in the correct way as the viewing angle is varied. Both of these can be implemented using a machine-vision system as we describe. Another application of machine-vision techniques in an anti-counterfeit context is their use in forensic investigation. We demonstrate how the origin of compact disks can be traced using marks in the outer surface, by imaging a magnified portion of the CD surface under darkfield illumination to maximise outer surface features while suppressing reflections from the internal data surface. We show that CDs from the same pressing machine exhibit matching defect patterns under darkfield illumination. This technique can be used to trace the origin of a sample counterfeit CD.

Citation Download Citation

Patrick J. Smith, Phelim O'Doherty, Carlos Luna, and Sean McCarthy "Commercial anticounterfeit products using machine vision", Proc. SPIE 5310, Optical Security and Counterfeit Deterrence Techniques V, (3 June 2004); https://doi.org/10.1117/12.525736

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available