Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
Digital Image Processing
Approximating game-theoretic optimal strategies for full-scale poker
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Object recognition with uncertain geometry and uncertain part detection
Computer Vision and Image Understanding
Adaptive dual-point Hough transform for object recognition
Computer Vision and Image Understanding
Automatic license plate recognition
IEEE Transactions on Intelligent Transportation Systems
Translation, rotation, and scale-invariant object recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Poker vision: playing cards and chips identification based on image processing
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
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Poker is an interesting field for artificial intelligence research. It is a game of imperfect information and chance associated outcomes, where players deal with probability, risk assessment, and possible deception - just like real life decision-making. In our proposal, three strategies are used to organize a robust poker recognition scheme: (1) using Hotelling transform to place the object image in the correct position in poker pick-up stage; (2) a weighted compacted energy (WCE) of the image is used as the first feature in using DWT and DCT; and (3) calculating four orientation connectivity run-length values (FOCRLV) to distinguish different poker card images. There are two contributions in this article - one is the use of FOCRLV as a special feature to improve image recognition and the other is use of the compact energy band of an image as another feature to effectively identify the images. In order to demonstrate the effectiveness of the proposed scheme, simulations under various conditions were conducted. The experimental results show that our proposed scheme can exactly identify ranks and suits of the poker images 100% of the time, even when 40% noise is added, or when intensity level is increased or decreased 40%.