Paper Title:
A Skew Detection Algorithm for PDF417 Based on Feature Point
  Abstract

The automatic identification of 2D (two dimensional) bar code PDF417 is very sensitive to skew angle, but, the common skew angle detection methods have shortcomings such as weak performance in time complexity. In this paper, based on the properties of PDF417 character code and the extraction of feature points, we get skew angle of PDF417 bar code image using the least square method. Experiments show that this algorithm has virtue of less computation and high accuracy.

  Info
Periodical
Chapter
Chapter 3: Sensor, Test and Signal Processing
Edited by
Zhixiang Hou
Pages
495-499
DOI
10.4028/www.scientific.net/AMM.128-129.495
Citation
J. H. Li, P. Li, X. D. Li, Y. W. Wang, "A Skew Detection Algorithm for PDF417 Based on Feature Point", Applied Mechanics and Materials, Vols. 128-129, pp. 495-499, 2012
Online since
October 2011
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Price
$32.00
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