Pill-ID: Matching and retrieval of drug pill images

Citations

WEB OF SCIENCE

40
Citations

SCOPUS

54

초록

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

Image retrieval; Pill images; Illicit drugs; Imprints; Moment invariants; Color histogram
제목
Pill-ID: Matching and retrieval of drug pill images
저자
Lee, Young-Beom; Park, Unsang; Jain, Anil K.; Lee, Seong-Whan
DOI
10.1016/j.patrec.2011.08.022
발행일
2012-05-01
유형
Article
저널명
Pattern Recognition Letters
권
33
호
7
페이지
904 ~ 910