A new accurate pill recognition system using imprint information

Zhiyuan Chen, Sei Ichiro Kamata

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Great achievements in modern medicine benefit human beings. Also, it has brought about an explosive growth of pharmaceuticals that current in the market. In daily life, pharmaceuticals sometimes confuse people when they are found unlabeled. In this paper, we propose an automatic pill recognition technique to solve this problem. It functions mainly based on the imprint feature of the pills, which is extracted by proposed MSWT (modified stroke width transform) and described by WSC (weighted shape context). Experiments show that our proposed pill recognition method can reach an accurate rate up to 92.03% within top 5 ranks when trying to classify more than 10 thousand query pill images into around 2000 categories.

本文言語English
ホスト出版物のタイトルSixth International Conference on Machine Vision, ICMV 2013
出版社SPIE
ISBN(印刷版)9780819499967
DOI
出版ステータスPublished - 2013 1月 1
イベント6th International Conference on Machine Vision, ICMV 2013 - London, United Kingdom
継続期間: 2013 11月 162013 11月 17

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
9067
ISSN(印刷版)0277-786X
ISSN(電子版)1996-756X

Conference

Conference6th International Conference on Machine Vision, ICMV 2013
国/地域United Kingdom
CityLondon
Period13/11/1613/11/17

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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