Robust decoding of barcode signals acquired under nonuniform illumination

Hana Lee, Jeongtae Kim

Research output: Contribution to journalArticlepeer-review


We present a novel joint barcode deblurring and nonuniform illumination compensation algorithm for barcode signals whose number of modules is known. The proposed algorithm is based on a penalized least squares method using a roughness penalty function for an illumination model and a double well penalty function for a barcode signal model. In simulations, the proposed method shows an improved performance compared with a conventional method without compensating nonuniform illumination effects. In addition, the proposed method converges quickly during optimization (within 15 iterations), thereby showing strong possibility for real time decoding of barcode signals.

Original languageEnglish
Pages (from-to)718-724
Number of pages7
JournalTransactions of the Korean Institute of Electrical Engineers
Issue number4
StatePublished - Apr 2008


  • Barcode
  • Deblurring
  • Illumination
  • Module
  • Regularization


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