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Unsupervised Barcode Image Reconstruction Based on Knowledge Distillation

Published: 19 January 2022 Publication History

Abstract

Due to the influence of the lighting and the focal length of the camera, the barcode images collected are degraded with low contrast, blur and insufficient resolution, which affects the barcode recognition. To solve the above problems, this paper proposes an unsupervised low-quality barcode image reconstruction method based on knowledge distillation by combining traditional image processing and deep learning technology. The method includes both teacher and student network, in the teachers' network, the first to use the traditional algorithm to enhance the visibility of the barcode image and edge information, and then the method of using migration study, using the barcode image super-resolution network training to blur and super resolution, the final barcode image reconstruction using the depth image prior to in addition to the noise in the image; In order to meet the real-time requirements of model deployment, the student network chooses a lightweight super-resolution network to learn the mapping between the input low quality barcode image and the output high quality barcode image of the teacher network. Experiment shows the proposed algorithm effectively improves the quality and the recognition rate of barcode image, under the premise of ensuring real-time performance.

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      cover image ACM Other conferences
      AISS '21: Proceedings of the 3rd International Conference on Advanced Information Science and System
      November 2021
      526 pages
      ISBN:9781450385862
      DOI:10.1145/3503047
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 19 January 2022

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      Author Tags

      1. barcode reconstruction
      2. knowledge distillation
      3. unsupervised networks

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      • Program for the Top Young Talents of Beijing High-level Innovation and Entrepreneurship

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      AISS 2021

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      Overall Acceptance Rate 41 of 95 submissions, 43%

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