Open Access
2012 Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems
Saša Krešić-Jurić
J. Appl. Math. 2012: 1-31 (2012). DOI: 10.1155/2012/758657


Accurate edge localization is essential in bar code decoding. Since speckle noise is the most dominant form of noise in laser bar code scanners, it is important to fully understand its effects on edge detection. Starting with the basic statistical properties of speckle patterns, we present stochastic analysis of speckle noise. We derive the autocorrelation function and power spectral density (PSD) of the noise in terms of intensity distribution of the scanning beam. We then study the signal-to-noise ratio for signals that result from scanning different configurations of edges. Next, we consider statistical properties of edge localization error caused by speckle noise. We show that the standard deviation of the error is determined by the PSD of the noise and relative positions of edges in a bar code symbol. Based on the analysis presented here, we propose new criteria for system design.


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Saša Krešić-Jurić. "Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems." J. Appl. Math. 2012 1 - 31, 2012.


Published: 2012
First available in Project Euclid: 2 January 2013

zbMATH: 1251.94007
MathSciNet: MR2970444
Digital Object Identifier: 10.1155/2012/758657

Rights: Copyright © 2012 Hindawi

Vol.2012 • 2012
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