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IMAGE-BASED DISCOUNT AND BARCODE RECOGNITION SYSTEM

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Author :  Xiaoyan Dai, Yisan Hsieh

Affiliation :  Advanced Technology Research Institute, Minatomirai Research Center, Kyocera Corporation

Country :  Japan

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  12, 23, December, 2022

Abstract :


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

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

Journal/ Proceedings Name :  Computer Science & Information Technology (CS & IT)

URL :  https://aircconline.com/csit/papers/vol12/csit122301.pdf

User Name : tania
Posted 13-01-2023 on 16:18:55 AEDT



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