Xiaoyan Dai and Yisan Hsieh, Minatomirai Research Center, Kyocera Corporation, Japan

Current Point-of-Sale processing is complex and time consuming. In this paper, we propose an image-based discount sticker and barcode “scan” system for automation. Recognition of discount stickers and barcodes is quite a big challenge, as different shooting conditions can result in different appearances. We design a deep learning classifier of various discount rates and barcode basing on YOLACT detection network. We also propose a data augmentation to generate various data that are close to real scene to improve the classification performance of deep learning model. Evaluation with our original data set shows that the proposed approach achieves high performance and is applicable to real-world scenario.

Classification, data augmentation, discount sticker, barcode, image-based, deep learning.