• Title/Summary/Keyword: code evaluation

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Transformer Network for Container's BIC-code Recognition (컨테이너 BIC-code 인식을 위한 Transformer Network)

  • Kwon, HeeJoo;Kang, HyunSoo
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.1
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    • pp.19-26
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    • 2022
  • This paper presents a pre-processing method to facilitate the container's BIC-code recognition. We propose a network that can find ROI(Region Of Interests) containing a BIC-code region and estimate a homography matrix for warping. Taking the structure of STN(Spatial Transformer Networks), the proposed network consists of next 3 steps, ROI detection, homography matrix estimation, and warping using the homography estimated in the previous step. It contributes to improving the accuracy of BIC-code recognition by estimating ROI and matrix using the proposed network and correcting perspective distortion of ROI using the estimated matrix. For performance evaluation, five evaluators evaluated the output image as a perfect score of 5 and received an average of 4.25 points, and when visually checked, 224 out of 312 photos are accurately and perfectly corrected, containing ROI.