Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Pill-ID: Matching and retrieval of drug pill images
- Issue Date
- 1-5월-2012
- Publisher
- ELSEVIER
- Keywords
- Image retrieval; Pill images; Illicit drugs; Imprints; Moment invariants; Color histogram
- Citation
- PATTERN RECOGNITION LETTERS, v.33, no.7, pp.904 - 910
- Indexed
- SCIE
SCOPUS
- Journal Title
- PATTERN RECOGNITION LETTERS
- Volume
- 33
- Number
- 7
- Start Page
- 904
- End Page
- 910
- ISSN
- 0167-8655
- Abstract
- 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.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.