Automatic Pill Identifier An Overview On Identifying, Retrieving And Authenticating Drug Pill

Reference

1. Yaniv, Z., Faruque, J., Howe, S., Dunn, K., Sharlip, D., Bond, A., Perillan, P., Bodenreider, O., Ackerman, M. J., & Yoo, T. S., The national library of medicine pill image recognition challenge: An initial report, 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). 
2. Vieira Neto, M. A., De Souza, J. W., Reboucas Filho, P. P., & Rodrigues, A. W. ,CoforDes: An invariant feature extractor for the drug pill identification, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).
3. Crema, C., Depari, A., Flammini, A., Lavarini, M., Sisinni, E., & Vezzoli, A. , A smartphone-enhanced pill-dispenser providing patient identification and in-take recognition, 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) 
4. D. Ushizima, A. Carneiro, M. Souza, and F. Medeiros, “Investigating pill recognition methods for a new national library of medicine image dataset,” in International Symposium on Visual Computing. Springer, 2015, pp. 410–419.
5. J. Yu, Z. Chen, S.-i. Kamata, and J. Yang, “Accurate system for automatic pill recognition using imprint information,” IET Image Processing, 2015, vol. 9, no. 12, pp. 1039–1047.
6. Y.-B. Lee, U. Park, A. K. Jain, and S.-W. Lee, “Pillid: Matching and retrieval of drug pill images,” Pattern Recognition Letters, 2012, vol. 33, no. 7, pp. 904–910.
7. D. G. Lowe, “Distinctive image features from scale invariant keypoints,” International journal of computer vision, 2004, vol. 60, no. 2, pp. 91–110.
8. D. Raskovic, T. Martin, E. Jovanov, “Medical Monitoring Applications for Wearable Computing,” The Computer Journal, July 2004, 47(4): 495-504
9. Kovac, M., "E-Health Demystified: An E-Government Showcase" Computer, Oct. 2014, vol.47, no.10, pp.34, 42.
10. J. A. Cramer, A. Roy, A. Burrell, C. J. Fairchild, M. J. Fuldeore, D. A. Ollendorf, and P. K. Wong, “Medication compliance and persistence: terminology and definitions,” Value in Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 2008, vol. 11, no. 1, pp. 44–47.
11. “Pill Image Recognition Challenge,” 2016, https://www.nlm.nih.gov/news/nlm-pill-image challenge-2016.html.
12. J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders, “Selective search for object recognition,” International journal of computer vision, 2013, vol. 104, no. 2, pp. 154–171.
13. J. Canny, “A computational approach to edge detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, vol. PAMI-8, no. 6, pp. 679–698.
14. “Drugs.com,” https://www.drugs.com/pill identification.html 
15. “Pillbox,” https://pillbox.nlm.nih.gov.
16. “WebMD,” http://www.webmd.com/pill-identification/.