Design A Chess Movement Algorithm and Detect the Movement by Images Classification Using Support Vector Machine Classifier*

Ngo Luong Thanh Tra, Phung Tri Cong, N. D. Anh
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Abstract

A game-playing AI (artificial intelligence) has been developed rapidly through the years. Chess is usually chosen to be a basic game to verify the AI algorithm. This paper presents a basic heuristic algorithm, which is Minimax algorithm and Alpha-beta pruning. In addition, the chess movement can be detected by an image, which is taken by a camera at the top, and after that make the best counter’s move. Image processing method combined with SVM (support vector machine) model was used to improve the detection of the chess moves. A computer vision program opened separate MATLAB window to run totally in the background.
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设计一种国际象棋移动算法,并使用支持向量机分类器对图像进行分类检测
一种可玩游戏的AI(人工智能)近年来发展迅速。通常选择国际象棋作为验证AI算法的基本游戏。本文提出了一种基本的启发式算法,即极大极小算法和α - β剪枝算法。此外,象棋的移动可以通过图像来检测,这是由顶部的摄像头拍摄的,然后做出最好的反击。采用图像处理与支持向量机(SVM)模型相结合的方法,改进了对象棋走法的检测。计算机视觉程序打开单独的MATLAB窗口,完全在后台运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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