NDLI: Chinese chess recognition algorithm based on computer vision

Content Provider	IEEE Xplore Digital Library
Author	Wu Gui Tao Jun
Copyright Year	2014
Description	Author affiliation: Educ. Adm. Office, Jianghan Univ., Wuhan, China (Wu Gui) \|\| Sch. of Math. & Comput. Sci., Jianghan Univ., Wuhan, China (Tao Jun)
Abstract	This paper introduces the Chinese chess recognition algorithm based on computer vision and image processing. In order to simplify processing and enhance efficiency, the images of chessboard and chessman need preprocessing in advance. The steps of preprocessing include of transformation from color images to gray images, images filtering with mean filter or median filter, and binaryzation of the gray images. The edges of chessboard and chessman are able to be extracted from the binarized images by image segmentation. Then the location of center of chessman and the circle edge of chessman can be calculated with an advanced Hough transformation, which can ascertain the location of chessman in the chessboard and the size of each chessman. According to the features of chess images, main recognition method is to analyze the radial chess pixel statistical data with mathematical morphology. Because the values of pixel coordination in any angle of chessman can keep same and stable, the recognition algorithm should be with a good recognition rate from the experimental results. The advanced and modified recognition algorithm is proved to be practical and applicative by the experimentation of computer vision system in Chinese chess games provided in this paper.
Starting Page	3375
Ending Page	3379
File Size	278235
Page Count	5
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852759
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Computer vision Image edge detection Chess Recognition Games Chinese Chess Feature extraction Educational institutions Computer Vision Recognition Algorithm
Content Type	Text
Resource Type	Article

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