Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems
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 stochasti...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2012/758657 |
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| _version_ | 1832564182152642560 |
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| author | Saša Krešić-Jurić |
| author_facet | Saša Krešić-Jurić |
| author_sort | Saša Krešić-Jurić |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2e6dff05735e4073b4427abfc35a2c82 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-2e6dff05735e4073b4427abfc35a2c822025-02-03T01:11:35ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/758657758657Analysis of Edge Detection in Bar Code Symbols: An Overview and Open ProblemsSaša Krešić-Jurić0Faculty of Mathematical and Natural Sciences, University of Split, Teslina 12, 21000 Split, CroatiaAccurate 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.http://dx.doi.org/10.1155/2012/758657 |
| spellingShingle | Saša Krešić-Jurić Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems Journal of Applied Mathematics |
| title | Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems |
| title_full | Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems |
| title_fullStr | Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems |
| title_full_unstemmed | Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems |
| title_short | Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems |
| title_sort | analysis of edge detection in bar code symbols an overview and open problems |
| url | http://dx.doi.org/10.1155/2012/758657 |
| work_keys_str_mv | AT sasakresicjuric analysisofedgedetectioninbarcodesymbolsanoverviewandopenproblems |