Poker vision: playing cards and chips identification based on image processing

Authors:
Paulo Martins;Luís Paulo Reis;Luís eófilo
Affiliations:
DEEC Electrical Engineering Department;LIACC Artificial Intelligence and Computer Science Lab., Faculdade de Engenharia da Universidade do Porto, Porto, Portugal;LIACC Artificial Intelligence and Computer Science Lab., Faculdade de Engenharia da Universidade do Porto, Porto, Portugal
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

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Digital Signal Processing

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Abstract

This paper presents an approach to the identification of playing cards and counting of chips in a poker game environment, using an entry-level webcam and computer vision methodologies. Most of the previous works on playing cards identification rely on optimal camera position and controlled environment. The presented approach is intended to suit a real and uncontrolled environment along with its constraints. The recognition of playing cards lies on template matching, while the counting of chips is based on colour segmentation combined with the Hough Circles Transform. With the proposed approach it is possible to identify the cards and chips in the table correctly. The overall accuracy of the rank identification achieved is around 94%.