基于数字图像处理技术实现一维条形码的快速定位。对输入的灰度图进行边缘检测和二值化等图像处理，通过数学形态学处理得到条形码候选区域，并利用梯度特征提取候选区域的边缘线；最后利用条形码条空的平行性对边缘线区域进行筛选，定位条形码区域。本文算法在WWU Muenster和ArTe-Lab条码图片数据集上进行测试，实验表明，本算法比现有的算法更快，因此，更适合部署在实时应用上。
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.
[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.
