Edge detection in bar code signals corrupted by integrated time-varying speckle

Authors:
S. Krešić-Jurić
Affiliations:
Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture, Division of Mathematics, University of Split, Rudjera Boškovića b.b., 21000 Split, Croatia
Venue:
Pattern Recognition
Year:
2005

Citing 5
Cited 2

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Scaling Theorems for Zero-Crossings

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise

IEEE Transactions on Pattern Analysis and Machine Intelligence
Speckle reducing anisotropic diffusion

IEEE Transactions on Image Processing
Deblurring of bilevel waveforms

IEEE Transactions on Image Processing

Applications of hidden Markov models in bar code decoding

Pattern Recognition Letters
Two-dimensional bar code out-of-focus deblurring via the Increment Constrained Least Squares filter

Pattern Recognition Letters

Quantified Score

Hi-index	0.01

Visualization

Abstract

Accurate edge localization is of primary importance in bar code decoding. In this paper we investigate statistical properties of edge localization error when a bar code signal is corrupted by additive noise which is a weakly stationary random process. We derive a first order approximation for the expected value and standard deviation of the error in terms of the power spectral density (PSD) of the noise. This result is used to estimate the edge localization error caused by speckle noise. We show that the standard deviation of the error is determined by the intensity distribution of a scanning beam and the positions of neighboring edges. We discuss how the error analysis determines the detection rates of a scanning system, and how it can be used in the system design. Analytical examples are provided for UPCA bar code symbols and a scanning beam with Gaussian distribution.