1D barcode fast localization technology based on image processing

doi:10.7523/j.issn.2095-6134.2019.05.018

›› 2019, Vol. 36 ›› Issue (5): 716-720.DOI: 10.7523/j.issn.2095-6134.2019.05.018

• Brief Reports • Previous Articles

1D barcode fast localization technology based on image processing

JI Qinqin¹, HUANG Lu²

1. College of Microelectronics, University of Science and Technology of China, Hefei 230027, China;
2. School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China

Received:2018-03-21 Revised:2018-05-22 Online:2019-09-15

Abstract

Abstract: In this paper we demonstrate the implementation of the fast localization of 1D-barcode based on digital image processing techniques. First, we conduct the edge detection and binary quantization on the input image. Then, we use digital morphological processing to obtain the candidate region of the barcode and adopt the gradient feature to extract the edge line of the region. Finally, we select the area of the barcode by utilizing the fact that the blank areas are parallel to each other. The algorithm is tested on two barcode data sets:WWU Muenster and ArTe-Lab. The results show that our algorithm is faster than the existing algorithms and therefore is more suitable for real-time applications.

Key words: image processing, gradient feature, edge line extraction, barcode localization

CLC Number:

TP391.4

JI Qinqin, HUANG Lu. 1D barcode fast localization technology based on image processing[J]. , 2019, 36(5): 716-720.

References

[1] Chai D, Hock F. Locating and decoding ean-13 barcodes from images captured by digital cameras[C]//Information, Communications and Signal Processing, 2005 Fifth International Conference on. Thailand Bangkok:IEEE, 2005:1 595-1 599.
[2] Gallo O, Manduchi R. Reading 1d barcodes with mobile phones using deformable templates[J]. IEEE transactions on pattern analysis and machine intelligence, 2011, 33(9):1 834-1 843.
[3] Katona M, Nyul L G. A novel method for accurate and efficient barcode detection with morphological operations[C]//Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on. Italy Naples:IEEE, 2012:307-314.
[4] Lin D T, Lin M C, Huang K Y. Real-time automatic recognition of omnidirectional multiple barcodes and DSP implementation[J]. Machine Vision and Applications, 2011, 22(2):409-419.
[5] Bodnar P, Nyul L G. Improving barcode detection with combination of simple detectors[C]//Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on. Italy Naples:IEEE, 2012:300-306.
[6] Zamberletti A, Gallo I, Albertini S, et al. Neural 1d barcode detection using the Hough transform[J]. Information and Media Technologies, 2015, 10(1):157-165.
[7] Tang M, Ma S D. Enhancement and segmentation of images in computer vision[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2004, 21(1):140-143.
[8] Otus N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on systems, man and cybernetics, 1979, 9(1):62-66.
[9] Wachenfeld S, Terlunen S, Jiang X. Robust recognition of 1-d barcodes using camera phones[C]//Pattern Recognition, 2008 19th ICPR International Conference on. USA Tampa:IEEE, 2008:1-4.
[10] Zamberletti A, Gallo I, Albertini S. Robust angle invariant 1d barcode detection[C]//Pattern Recognition (ACPR), 20132nd IAPR Asian Conference on. Japan Naha:IEEE, 2013:160-164.
[11] Creusot C, Munawar A. Real-time barcode detection in the wild[C]//Applications of Computer Vision (WACV), 2015 IEEE Winter Conference on. USA Waikoloa:IEEE, 2015:239-245.

1D barcode fast localization technology based on image processing

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 6

Recommended Articles

Metrics

Comments

[1]	GUO Shengrong, LIU Runcong, DAI Xiaotian, WANG Xiaodong, NA Xianzhao. Electrocapillarity motion of metal droplets [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(1): 54-61.
[2]	HU Xuan, LI Daojing, ZHOU Jianwei. Image processing of SAL based on low sampling rate digital dechirp [J]. , 2016, 33(5): 664-668.
[3]	LI Qing-An, SUN Xiao-Wei, GAO Yan, QIAO Yan-Feng. Research on Measuring Rolling Angle of Space Target Based on Photoelectric Theodolites [J]. Journal of University of Chinese Academy of Sciences, 2006, 23(6): 765-769.
[4]	Ge Shi-ming; Cheng Yi-min; Zeng Dan; Li Jie. Seamless Image Processing Based on Gradient Field Total Variation Model [J]. , 2006, 23(5): 665-670.
[5]	YUAN Jian-Hua, YIN Xue-Min, ZOU Mou-Yan. A Fast Super-Resolution Reconstruction Algorithm [J]. , 2006, 23(4): 514-519.
[6]	CHENG XiaoBin, CHEN JingYi, WANG Yue, ZHANG XiaoQian. Analysis of the Instabilities of Premixed V-Flames in Micro-Gravity Based on Wavelet Image Processing [J]. , 2002, 19(1): 28-34.