Real-Time Detection and Recognition of Cards in the Game of Set

Abstract

This paper aims to present a procedure for real-time detection and recognition of the cards from the card game Set using computer vision techniques. Our approach to recognizing cards in images is done in three steps: segmenting cards from the image, extracting features from card images with horizontal and vertical lines, and card feature classification with support vector machine (SVM). Small number of features are extracted from relatively small subset of pixels to achieve real-time processing.