Abstract
The automatic identification of 2D (two dimensional) bar code PDF417 is very sensitive to skew angle. However, the common skew angle detection methods have shortcomings such as weak performance in time complexity. This paper mainly introduces an algorithm that utilizes Mathematics Morphology to extract the PDF417 code area from the complex background and then get skew angle of PDF417 bar code image using the least square method based on the properties of PDF417 character code and the extraction of feature points. Experiments show that this algorithm has virtue of less computation and high accuracy.
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Li, JH., Li, P., Wang, YW., Li, XD. (2012). A Skew Detection Algorithm for PDF417 in Complex Background. In: Hou, Z. (eds) Measuring Technology and Mechatronics Automation in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 135. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2185-6_15
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DOI: https://doi.org/10.1007/978-1-4614-2185-6_15
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