Pill-ID: Matching and retrieval of drug pill images

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.

[1]  H.M. Wechsler,et al.  Digital image processing, 2nd ed. , 1981, Proceedings of the IEEE.

[2]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[4]  Rong Jin,et al.  Content-based image retrieval: An application to tattoo images , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[5]  Tomaso Poggio,et al.  Models of object recognition , 2000, Nature Neuroscience.

[6]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.

[7]  Anil K. Jain,et al.  PILL-ID: Matching and Retrieval of Drug Pill Imprint Images , 2010, 2010 20th International Conference on Pattern Recognition.

[8]  Shih-Fu Chang,et al.  Tools and techniques for color image retrieval , 1996, Electronic Imaging.

[9]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[10]  Arun Ross,et al.  Score normalization in multimodal biometric systems , 2005, Pattern Recognit..

[11]  Xiangyang Wang,et al.  Robust image retrieval based on color histogram of local feature regions , 2010, Multimedia Tools and Applications.

[12]  Paul Wintz,et al.  Digital image processing (2nd ed.) , 1987 .

[13]  Shi-Kuo Chang,et al.  Picture Indexing and Abstraction Techniques for Pictorial Databases , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Toshikazu Kato,et al.  Database architecture for content-based image retrieval , 1992, Electronic Imaging.

[15]  Zeno Geradts,et al.  Content based information retrieval in forensic image databases. , 2002, Journal of forensic sciences.

[16]  Myron Flickner,et al.  Query by Image and Video Content , 1995 .