Evolution of optically nondestructive and data-non-intrusive credit card verifiers

Sarun Sumriddetchkajorn; Yuttana Intaravanne

doi:10.1117/12.853505

13 May 2010 Evolution of optically nondestructive and data-non-intrusive credit card verifiers

Sarun Sumriddetchkajorn, Yuttana Intaravanne

Proceedings Volume 7726, Optical Sensing and Detection; 77261B (2010) https://doi.org/10.1117/12.853505
Event: SPIE Photonics Europe, 2010, Brussels, Belgium

Abstract

Since the deployment of the credit card, the number of credit card fraud cases has grown rapidly with a huge amount of loss in millions of US dollars. Instead of asking more information from the credit card's holder or taking risk through payment approval, a nondestructive and data-non-intrusive credit card verifier is highly desirable before transaction begins. In this paper, we review optical techniques that have been proposed and invented in order to make the genuine credit card more distinguishable than the counterfeit credit card. Several optical approaches for the implementation of credit card verifiers are also included. In particular, we highlight our invention on a hyperspectral-imaging based portable credit card verifier structure that offers a very low false error rate of 0.79%. Other key features include low cost, simplicity in design and implementation, no moving part, no need of an additional decoding key, and adaptive learning.

Citation Download Citation

Sarun Sumriddetchkajorn and Yuttana Intaravanne "Evolution of optically nondestructive and data-non-intrusive credit card verifiers", Proc. SPIE 7726, Optical Sensing and Detection, 77261B (13 May 2010); https://doi.org/10.1117/12.853505

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