Fast Algorithm for Recognition of 2D Barcode: A Review

Abstract

Mobile phones with cameras are the most popular combination for 2D bar code reading, which has increased the commercial values to use camera phones. The reported work provides discussions on introducing solutions of the difficulties introduced by low image quality which is the most commonly found in barcode images taken by a phone camera. This study also compares results of different approaches used for recognition of 2D barcodes. The relevant discussion on Fourier-Radon transform has been made to estimate the parameters of the blurring kernel with improved robustness to noise over available techniques. Experiments on both simulated and real images have shown that blurring kernels can be accurately identified for a wider range of motion types. For localization of 2D barcodes edge tracing is also proposed for further validate the initially localized corners. For recognition of 2D barcodes by Richardson Lucy Method is also discussed.

Authors and Affiliations

Kanika Dutta

Keywords

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  • EP ID EP244849
  • DOI -
  • Views 77
  • Downloads 0

How To Cite

Kanika Dutta (2016). Fast Algorithm for Recognition of 2D Barcode: A Review. International journal of Emerging Trends in Science and Technology, 3(7), 4334-4339. https://europub.co.uk/articles/-A-244849