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Pill-ID: Matching and retrieval of drug pill images
- Lee, Young-Beom;
- Park, Unsang;
- Jain, Anil K.;
- Lee, Seong-Whan
WEB OF SCIENCE
36SCOPUS
49초록
Worldwide, law enforcement agencies are encountering a substantial increase in the number of illicit drug pills being circulated in our society. Identifying the source and manufacturer of these illicit drugs will help deter drug-related crimes. We have developed an automatic system, called Pill-ID to match drug pill images based on several features (i.e., imprint, color, and shape) of the tablet. The color and shape information is encoded as a three-dimensional histogram and invariant moments, respectively. The imprint on the pill is encoded as feature vectors derived from SIFT and MLBP descriptors. Experimental results using a database of drug pill images (1029 illicit drug pill images and 14,002 legal drug pill images) show 73.04% (84.47%) rank-1 (rank-20) retrieval accuracy. (C) 2011 Elsevier B.V. All rights reserved.
키워드
- 제목
- Pill-ID: Matching and retrieval of drug pill images
- 저자
- Lee, Young-Beom; Park, Unsang; Jain, Anil K.; Lee, Seong-Whan
- 발행일
- 2012-05-01
- 유형
- Article
- 권
- 33
- 호
- 7
- 페이지
- 904 ~ 910