Poker Vision: Playing Cards and Chips Identification Based on Image Processing

  • Paulo Martins
  • Luís Paulo Reis
  • Luís Teófilo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6669)

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%.

Keywords

Poker playing cards identification image processing template matching colour segmentation chips counting 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Paulo Martins
    • 1
  • Luís Paulo Reis
    • 2
  • Luís Teófilo
    • 2
  1. 1.DEEC Electrical Engineering DepartmentFaculdade de Engenharia da Universidade do PortoPortoPortugal
  2. 2.LIACC Artificial Intelligence and Computer Science Lab.Faculdade de Engenharia da Universidade do PortoPortoPortugal

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