Automatic Coin Classification and Identification

  • Huber-Mrk R
  • Nlle M
  • Rubik M
  • et al.
N/ACitations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

We investigate object recognition and classification in a<br />setting with a large number of classes as well as<br />recognition and identification of individual objects of<br />high similarity. Real-world data sets were obtained for the<br />classification and identification tasks. The considered<br />classification task is the discrimination of modern coins<br />into several hundreds of different classes. Identification<br />is investigated for hand-made ancient coins. Intra-class<br />variance due to wear and abrasion vs. small inter-class<br />variance makes the classification of modern coins<br />challenging. For ancient coins the intra-class variance<br />makes the identification task possible, as the appearance<br />of individual hand-struck coins is unique. Figure 1 shows<br />sample images for the considered collections of coins.

Cite

CITATION STYLE

APA

Huber-Mrk, R., Nlle, M., Rubik, M., Hdlmoser, M., Kampel, M., & Zambanini, S. (2012). Automatic Coin Classification and Identification. In Advances in Object Recognition Systems. InTech. https://doi.org/10.5772/35795

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free