Fast Adaptive Binarization of QR Code Images for Automatic Sorting in Logistics Systems

With the development of technology, QR codes play an important role in information exchange. In order to work out problem uneven illumination automatic sorting logistics systems, adaptive method binarization is presented. The proposed defines block windows’ size adaptively for local based on traits code. It takes advantage integral images calculate sum gray values a block. can binarize code with high quality and speed under illumination. Compared several existing algorithms, it shown that more effective. experimental results validate has higher recognition accuracy efficient binarization.