Open Access

ARTICLE

An Efficient Bar Code Image Recognition Algorithm for Sorting System

Desheng Zheng^{1, *}, Ziyong Ran¹, Zhifeng Liu¹, Liang Li², Lulu Tian³

1 School of Computer Science, Research Center for Cyber Security, Southwest Petroleum University, Chengdu, 610500, China.
2 College of Information and Software Engineering, UESTC, Chengdu, 611731, China.
3 Brunel University London, Uxbridge, Middlesex UB8 3PH, UK.

* Corresponding Author: Desheng Zheng. Email: .

Computers, Materials & Continua 2020, 64(3), 1885-1895. https://doi.org/10.32604/cmc.2020.010070

Received 10 February 2020; Accepted 01 May 2020; Issue published 30 June 2020

Abstract

In the sorting system of the production line, the object movement, fixed angle of view, light intensity and other reasons lead to obscure blurred images. It results in bar code recognition rate being low and real time being poor. Aiming at the above problems, a progressive bar code compressed recognition algorithm is proposed. First, assuming that the source image is not tilted, use the direct recognition method to quickly identify the compressed source image. Failure indicates that the compression ratio is improper or the image is skewed. Then, the source image is enhanced to identify the source image directly. Finally, the inclination of the compressed image is detected by the barcode region recognition method and the source image is corrected to locate the barcode information in the barcode region recognition image. The results of multitype image experiments show that the proposed method is improved by 5+ times computational efficiency compared with the former methods, and can recognize fuzzy images better.

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Citations