TY - GEN
T1 - Feasible implementation of a prediction algorithm for the game of roulette
AU - Small, Michael
AU - Tse, Chi Kong
PY - 2008/11
Y1 - 2008/11
N2 - We present a mathematical model of the game of roulette and describe the implementation of an image processing and data analysis system to successfully predict the outcome of the game. Both the case of a fair (level) and biased (tilted) wheel will be described but the focus in this presentation is the (harder) case of a perfectly fair wheel. We show that when implemented on a casino-grade roulette wheel our technique obtains an expected return of over 40%, in contrast, the expected return for an uninformed gambler is - 2.7%. © 2008 IEEE.
AB - We present a mathematical model of the game of roulette and describe the implementation of an image processing and data analysis system to successfully predict the outcome of the game. Both the case of a fair (level) and biased (tilted) wheel will be described but the focus in this presentation is the (harder) case of a perfectly fair wheel. We show that when implemented on a casino-grade roulette wheel our technique obtains an expected return of over 40%, in contrast, the expected return for an uninformed gambler is - 2.7%. © 2008 IEEE.
UR - http://www.scopus.com/inward/record.url?scp=62949173546&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-62949173546&origin=recordpage
U2 - 10.1109/APCCAS.2008.4746243
DO - 10.1109/APCCAS.2008.4746243
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781424423422
SN - 9781424423415
T3 - IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
SP - 1208
EP - 1211
BT - Proceedings of APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems
T2 - 2008 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS 2008)
Y2 - 30 November 2008 through 3 December 2008
ER -