Abstract：A target recognition system based on fuzzy automata is presented. The system first performs image processing, then accomplishes the target recognition. The system consists of four parts: image preprocessing, feature extraction, target matching and experiment. Compared with the existing approaches, both global and local features of target image are utilized in this system, and fuzzy automata is used for target recognition. Simulation results show that the result of the target recognition based on fuzzy automata is better than that of other approaches. The recognition rate, as high as 94.59%, is achieved.
吴青娥，王拓，刘卫亮，黄永宣，李济生，舒兰. 一种基于模糊自动机的目标识别方法*[J]. 模式识别与人工智能, 2008, 21(1): 56-61.
WU QingE , WANG Tuo, LIU WeiLiang, HUANG YongXuan, LI JiSheng, SHU Lan. Target Recognition Based on Fuzzy Automata. , 2008, 21(1): 56-61.
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2008, Vol. 21 
