Work

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

Year: 2014

Type: article

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.

Source: Applied Mechanics and Materials

DOI: 10.4028/www.scientific.net/amm.571-572.764

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

Institution: Northwest University

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funders: Northwestern University, National Natural Science Foundation of China

OpenAlex ID: W2015229728

FWCI: 0.481

Cites: 9

Cited by: 5

Related to: 10