Robust Restoration of Barcode Signals

바코드 신호의 강인한 복원

  • 이한아 (이화여자대학 전자정보통신학과) ;
  • 이정태 (이화여자대학 전자정보통신학과)
  • Published : 2007.10.01

Abstract

Existing barcode signal restoration algorithms are not robust to unmodeled outliers that may exist in scanned barcode images due to scratches, dirts, etc. In this paper, we describe a robust barcode signal restoration algorithm that uses the hybrid $L_1-L_2$ norm as a similarity measure. To optimze the similarity measure, we propose a modified iterative reweighted least squares algorithm based on the one step minimization of a quadratic surrogate function. In the simulations and experiments with barcode images, the proposed method showed better robustness than the conventional MSE based method. In addition, the proposed method converged quickly during optimization process.

Keywords

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