OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 5 — Feb. 10, 2010
  • pp: 764–771

Data-nonintrusive photonics-based credit card verifier with a low false rejection rate

Sarun Sumriddetchkajorn and Yuttana Intaravanne  »View Author Affiliations


Applied Optics, Vol. 49, Issue 5, pp. 764-771 (2010)
http://dx.doi.org/10.1364/AO.49.000764


View Full Text Article

Enhanced HTML    Acrobat PDF (880 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

We propose and experimentally demonstrate a noninvasive credit card verifier with a low false rejection rate (FRR). Our key idea is based on the use of three broadband light sources in our data-nonintrusive photonics-based credit card verifier structure, where spectral components of the embossed hologram images are registered as red, green, and blue. In this case, nine distinguishable variables are generated for a feed-forward neural network (FFNN). In addition, we investigate the center of mass of the image histogram projected onto the x axis ( I color ), making our system more tolerant of the intensity fluctuation of the light source. We also reduce the unwanted signals on each hologram image by simply dividing the hologram image into three zones and then calculating their corresponding I color values for red, green, and blue bands. With our proposed concepts, we implement our field test prototype in which three broadband white light light-emitting diodes (LEDs), a two-dimensional digital color camera, and a four-layer FFNN are used. Based on 249 genuine credit cards and 258 counterfeit credit cards, we find that the average of differences in I color values between genuine and counterfeit credit cards is improved by 1.5 times and up to 13.7 times. In this case, we can effectively verify credit cards with a very low FRR of 0.79%.

© 2010 Optical Society of America

OCIS Codes
(090.5640) Holography : Rainbow holography
(120.4290) Instrumentation, measurement, and metrology : Nondestructive testing
(330.1730) Vision, color, and visual optics : Colorimetry
(150.1708) Machine vision : Color inspection
(110.4234) Imaging systems : Multispectral and hyperspectral imaging
(100.4996) Image processing : Pattern recognition, neural networks

ToC Category:
Image Processing

History
Original Manuscript: August 13, 2009
Revised Manuscript: December 23, 2009
Manuscript Accepted: December 28, 2009
Published: February 1, 2010

Citation
Sarun Sumriddetchkajorn and Yuttana Intaravanne, "Data-nonintrusive photonics-based credit card verifier with a low false rejection rate," Appl. Opt. 49, 764-771 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-5-764

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

If you are accessing the full text through a member bundle, please use the Enhanced HTML link to gain access to the citation lists and other restricted features. Note that accessing both the PDF and HTML versions of an article will count as only one download against your account.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

If you are accessing the full text through a member bundle, please use the Enhanced HTML link to gain access to the citation lists and other restricted features. Note that accessing both the PDF and HTML versions of an article will count as only one download against your account.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

If you wish to use one of your free member downloads to view the figures, click "Enhanced HTML" above and access the figures from the article itself or from the navigation tab.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

If you are accessing the full text through a member bundle, please use the Enhanced HTML link to gain access to the citation lists and other restricted features. Note that accessing both the PDF and HTML versions of an article will count as only one download against your account.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited