Pill-ID: Matching and retrieval of drug pill images

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• 作者：Young-Beom Lee^a ; ^{young-beom_lee@korea.ac.kr} ; Unsang Park^b ; ^{parkunsa@cse.msu.edu} ; Anil K. Jain^a ; ^b ; ^{jain@cse.msu.edu} ; Seong-Whan Lee^a ; ^{swlee@image.korea.ac.kr}
• 关键词：Image retrieval ; Pill images ; Illicit drugs ; Imprints ; Moment invariants ; Color histogram
• 刊名：Pattern Recognition Letters
• 出版年：2012
• 期刊代码：101_01678655
• 类别：cp
• 出版时间：1 May, 2012
• 卷：33
• 期：7
• 页码：904-910
• 文件大小：1287 K

摘要

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.