Research on QR Code Black Line and White Line Defect Detection Algorithm

Jian Zhao; Huan Wei Wang; Shan Liu; Na Zhang; Jian Jia

doi:10.4028/www.scientific.net/AMM.571-572.764

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 571-572Research on QR Code Black Line and White Line...

Research on QR Code Black Line and White Line Defect Detection Algorithm

Abstract:

In order to solve the defect detection problems of black line and white line of QR Code. According to the linear properties of defect, this paper puts forward a kind of defect detection algorithm based on Hough Transform and vertical projection. Through the experiment testing, the accuracy of algorithm detection reached 98.57%, the average test time is 38.28ms. This algorithm can be transplanted to other types of QR code and industrial on-line detection system.

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Periodical:

Applied Mechanics and Materials (Volumes 571-572)

Pages:

764-767

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.571-572.764

Citation:

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Online since:

June 2014

Authors:

Jian Zhao, Huan Wei Wang, Shan Liu, Na Zhang, Jian Jia

Keywords:

Defect Detection, Hough Transform (HT), Machine Vision, QR Code, Vertical Projection

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