A Machine Learning and Computer Vision Application to Robustly Extract Winnings from Multiple Lottery Tickets in One Shot
Keywords:
Machine Learning, Lottery, Computer Vision, Powerball, Mega Millions
Abstract
Mega Millions and Powerball are among the most popular American lottery games. This article provides a practical software application that can conveniently examine and evaluate several lottery tickets for prizes using just the images. The application accepts as input a directory containing the images of lottery tickets and utilizes machine learning and computer vision to extract lottery ticket data, lottery name, lottery draw date, 5-digit lottery numbers, 2-digit lottery "ball" numbers, and the lottery multiplier. The application also retrieves winning lottery data that corresponds to the lottery draw date using a public database API. This is compared with data collected from each lottery ticket image to establish matches, and the corresponding prize amount is computed. The current version of the application supports GPU usage, and image orientation has no impact on its functionality. It is believed that a considerable portion of the U.S. public participating in the Powerball and Mega Millions lotteries will find such an application beneficial and handy.
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References
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Bernadette McKinney, E. & Swain, J. W. (1993). State lotteries: Explaining their popularity. International Journal of Public Administration, 16(7), 1015–1033. https://doi.org/10.1080/01900699308524833
Castaño-Díez, D., Moser, D., Schoenegger, A., Pruggnaller, S., & Frangakis, A. S. (2008). Performance evaluation of image processing algorithms on the GPU. Journal of Structural Biology, 164(1), 153–160. https://doi.org/10.1016/j.jsb.2008.07.006
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Kemenade, H. Van, Murray, A., wiredfool, Jeffrey A. Clark, “Alex,” Karpinsky, A., Baranovič, O., Gohlke, C., Dufresne, J., DWesl, Schmidt, D., Kopachev, K., Houghton, A., Mani, S., Landey, S., Vashek, Ware, J., Piolie, Douglas, J., T, S., … Base, M. (2022). Python-Pillow (7.1.2). Zenodo. https://doi.org/10.5281/zenodo.6788304
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Staudemeyer, R. C. & Morris, E. R. (2019). Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks (arXiv:1909.09586). arXiv. https://doi.org/10.48550/arXiv.1909.09586
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Tom Huddleston Jr (2022). The $1.28 billion Mega Millions jackpot would be one of the biggest ever—Here are the top 5 so far. CNBC. https://www.cnbc.com/2022/07/27/1-billion-mega-millions-jackpot-among-biggest-us-lottery-prizes.html
Van Rossum, G. & Drake, F. L. (2009). Python 3 Reference Manual. CreateSpace.
VikramjitSinghRathee (2022). A Machine Learning and Computer Vision Application to Compute Winnings from Multiple Lottery tickets (1.0) [Python]. https://github.com/VikramjitSinghRathee/A-Machine-Learning-and-Computer-Vision-Application-to-Compute-Winnings-from-Multiple-Lottery-tickets
Waller, P. (2022). Pyfiglet (0.8.post1) [Python]. https://github.com/pwaller/pyfiglet
xmunoz (2022). Sodapy (2.1.1) [Python]. https://github.com/xmunoz/sodapy
Xu, R., Han, F., & Ta, Q. (2018). Deep Learning at Scale on NVIDIA V100 Accelerators. 23–32. https://doi.org/10.1109/PMBS.2018.8641600
Ye, Q. & Doermann, D. (2015). Text Detection and Recognition in Imagery: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(7), 1480–1500. https://doi.org/10.1109/TPAMI.2014.2366765
Published
2023-11-19
How to Cite
Rathee, V. S., Li, W., & He, P. (2023). A Machine Learning and Computer Vision Application to Robustly Extract Winnings from Multiple Lottery Tickets in One Shot. European Scientific Journal, ESJ, 23, 373. Retrieved from https://eujournal.org/index.php/esj/article/view/17439
Section
ESI Preprints
Copyright (c) 2023 Vikramjit S. Rathee, Wan Li, Pengyue He
This work is licensed under a Creative Commons Attribution 4.0 International License.
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