IDEAS home Printed from https://ideas.repec.org/a/rau/journl/v10y2015i2p291-308.html
   My bibliography  Save this article

Metallic Coin Analyzer System For Automatic Identification And Classification

Author

Listed:
  • Stefan Nicolae Tica

    () ("Politehnica" University of Bucharest)

  • Costin-Anton Boiangiu

    () ("Politehnica" University of Bucharest)

  • Ion Bucur

    () ("Politehnica" University of Bucharest)

Abstract

In this paper, we would like to present and discuss a system that automatically classifies coins. This flexible system can identify coins having different features and being photographed in different light conditions. For this purpose, a set of strong techniques for thresholding, edge detection and frequency transform were used in order to generate a fingerprint as meaningful and as invariant as possible for every coin class. Usually, the capturing of digital images cannot be performed in best conditions and inconsistencies can arise due to various lighting conditions as well as the performance of the capturing device. This article is here to suggest a method to reduce problems generated by lighting, so that image characteristics are more accurate. The proposed solution improves an existing automatic coin classification algorithm by applying illumination correction before the actual classification.

Suggested Citation

  • Stefan Nicolae Tica & Costin-Anton Boiangiu & Ion Bucur, 2015. "Metallic Coin Analyzer System For Automatic Identification And Classification," Romanian Economic Business Review, Romanian-American University, vol. 9(2), pages 291-308, December.
  • Handle: RePEc:rau:journl:v:10:y:2015:i:2:p:291-308
    as

    Download full text from publisher

    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI15/JISOM-WI15-A05.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mihai Zaharescu & IonuĊ£ Cosmin Petrescu, 2013. "Edge Detection In Document Analysis," Romanian Economic Business Review, Romanian-American University, vol. 7(1), pages 156-165, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rau:journl:v:10:y:2015:i:2:p:291-308. See general information about how to correct material in RePEc.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alex Tabusca). General contact details of provider: https://edirc.repec.org/data/firauro.html .

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.