Barcode Localization using Curvelet Transform and Neural Network

  • Gaur P
  • Tiwari S
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

Barcode localization is the main challenge in developing an image-based barcode reading system. Bar codes are able to carry both explicit information and a database key, by encoding a series of characters or symbols. This paper deals with localization of European Article Number-13 (EAN-13) barcode in an image. A new approach for detecting and locating bar-codes is introduced here, which is based on the curvelet transform. All extracted feature by curvelet transform are applied to the neural network for training and testing. The performance of the proposed work shows efficient result.

Cite

CITATION STYLE

APA

Gaur, P., & Tiwari, S. (2014). Barcode Localization using Curvelet Transform and Neural Network. International Journal of Computer Applications, 85(6), 6–9. https://doi.org/10.5120/14843-3083

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