Agent-based two-dimensional barcode decoding robust against non-uniform geometric distortion

Kazuya Nakamura, Hiroshi Kawasaki, Satoshi Ono

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

Two-dimensional (2D) codes are assumed to be printed on flat planes and subject to distortion when printed on non-rigid materials such as papers and clothes. Although general 2D code decoders correct uniform distortion such as perspective distortion, it is difficult to correct non-uniform and irregular distortion of 2D code itself. To cope with this problem, this paper proposes an agent-based approach to reconstruct 2D code. In this approach, auxiliary lines are given to a 2D code and used to recognize the distortion. First, the proposed method finds 2D code area using feature patterns composed by the auxiliary lines, and looks for finder patterns by Convolutional Neural Network (CNN). Then, many agents simultaneously trace the lines referring various image features and neighborhood agents. Feature weights are optimized by Genetic Algorithm. Experimental results showed that the proposed method has prospects that it can decode distorted 2D code without occlusion.

本文言語英語
ホスト出版物のタイトルProceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
編集者Mario Koppen, Azah Kamilah Muda, Kun Ma, Bing Xue, Hideyuki Takagi, Ajith Abraham
出版社Institute of Electrical and Electronics Engineers Inc.
ページ181-186
ページ数6
ISBN(電子版)9781467393607
DOI
出版ステータス出版済み - 6月 15 2016
外部発表はい
イベント7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 - Fukuoka, 日本
継続期間: 11月 13 201511月 15 2015

出版物シリーズ

名前Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015

その他

その他7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
国/地域日本
CityFukuoka
Period11/13/1511/15/15

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • 制御と最適化
  • モデリングとシミュレーション

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