Automatic Localization of Multi-type Barcodes in High-Resolution Images

Regarding the location of multi-type barcodes in high-resolution images, it is difficult for the existing barcode positioning algorithms to meet the actual needs of efficiency. In this work, a reliable localization framework is proposed to locate multiple types of barcodes in high-resolution images, which covers two steps: extracting multiple types of barcode features through a joint edge detection algorithm and marking the target barcode region with a bidirectional contour labeling method. The result of the target location is represented by the smallest rectangular fit of the barcode region. According to the experimental results, the proposed method can locate multi-type barcodes in high-resolution images with an accuracy of 99.06% and a speed of 2,906 ms.