A new accurate pill recognition system using imprint information

Zhiyuan Chen; Sei-ichiro Kamata

doi:10.1117/12.2051168

24 December 2013 A new accurate pill recognition system using imprint information

Zhiyuan Chen, Sei-ichiro Kamata

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 906711 (2013) https://doi.org/10.1117/12.2051168
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

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.

Citation Download Citation

Zhiyuan Chen and Sei-ichiro Kamata "A new accurate pill recognition system using imprint information", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 906711 (24 December 2013); https://doi.org/10.1117/12.2051168

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