GBVS Based 1D and 2D Barcodes Localization in Complex Scene
Nan Guo, Xiaonian Wang, Zhuping Wang, Jin Zhu · 2015
This paper proposes a new approach to achieve localization for one-dimensional (1D) and two-dimensional (2D) barcodes under the complex background. Most methods may work for a single 1D or 2D barcode or rely on a unique pattern to locate a single 1D or 2D barcode. Now we propose a novel barcode localization algorithm based on GBVS. It can quickly get saliency map on image and let it locates the 1D&2D barcodes area. In the aspect of barcodes segmentation, we set multi-threshold value according to the different intensity regions. At last, we put forward a new thought in 1D&2D barcode verification. Experimental results indicate that the proposed approach can locate and verify 1D&2D barcodes in complex backgrounds with acceptable accuracy.