Barcode Image Restoration for Recognition of Product Information

Dung D. Vo, Duy T. Nguyen, Hai Thanh Nguyen and Viet B. Ngo
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Dung D. Vo: Department of Industrial Electronic - Biomedical Engineering, Faculty of Electrical - Electronics Engineering, HCMC University of Technology and Education, Vietnam
Duy T. Nguyen: Department of Industrial Electronic - Biomedical Engineering, Faculty of Electrical - Electronics Engineering, HCMC University of Technology and Education, Vietnam
Hai Thanh Nguyen: Department of Industrial Electronic - Biomedical Engineering, Faculty of Electrical - Electronics Engineering, HCMC University of Technology and Education, Vietnam
Viet B. Ngo: Department of Industrial Electronic - Biomedical Engineering, Faculty of Electrical - Electronics Engineering, HCMC University of Technology and Education, Vietnam

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 9, 93-100

Abstract: Barcode attached on product is to transfer information to users. In practice, many barcodes are degraded over time and they are difficult for users to recognize product information. Therefore, barcode image restoration plays an important role due to clearly showing product information for users. This paper proposed a restoration approach of barcode- EAN 13 images with different degraded characteristics such as vertical lines, blurring, dashed lines. In particular, the degraded barcode images are pre-processed for restoring before recognition, in which a radon method is applied for rotating barcode image and an Otsu segmentation method is employed to split the barcode image from an original image. Therefore, bars in each barcode image are determined for recognition of the correct barcode. Barcode image datasets are collected from different practical products with different quality for restoration before recognizing them. Experimental results show to illustrate the proposed approach for the barcode recognition is the effectiveness

Keywords: Barcode-EAN 13; Radon Transform; Histogram Equalization; Otsu Segmentation Algorithm; Barcode Restoration (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:9:id:61522

DOI: 10.24018/ejeng.2019.4.9.1522

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