DocumentCode :
3261023
Title :
A pattern recognition system based on computer vision — The method of Chinese chess recognition
Author :
Zhu, Huasheng ; Lei, Jiner ; Tian, Xiumei
Author_Institution :
Comput. Sci. & Technol. Dept., NIT, Nanchang
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
865
Lastpage :
868
Abstract :
A Chinese chessman pattern recognition system is presented. First, system structure is introduced, and chessman image pretreatment is discussed. Then primarily discusses the chessman recognition algorithms. Because of direction haphazardry, chessman recognition is quite different from character recognition. This paper presents two kinds of chessman recognition algorithms - RC and concentric circle algorithm for feature extraction. Then choose a relatively suitable recognition algorithm by comparing their time complexity and accuracy.
Keywords :
computer vision; feature extraction; Chinese chess recognition; Chinese chessman pattern recognition system; chessman image pretreatment; chessman recognition algorithm; computer vision; concentric circle algorithm; feature extraction; Character recognition; Charge coupled devices; Charge-coupled image sensors; Computer vision; Equations; Feature extraction; Filtering; Image segmentation; Pattern recognition; Signal processing; Pattern Recognition; algorithm; chess; computer vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2008. GrC 2008. IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2512-9
Electronic_ISBN :
978-1-4244-2513-6
Type :
conf
DOI :
10.1109/GRC.2008.4664655
Filename :
4664655
Link To Document :
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