模式识别与人工智能
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  2012, Vol. 25 Issue (2): 346-351    DOI:
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Fusion Recognition Algorithm Based on Fuzzy Density Determination with Classification Capability and Supportability
ZHAN Yong-Zhao, ZHANG Juan, MAO Qi-Rong
School of Computer Science and Telecommunication Engineering,Jiangsu University,Zhenjiang 212013

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Abstract  Fuzzy integral theory can be effectively used to deal with the uncertainties of the classification decisions. However, the classification capability of each classifier for recognition results and the supportability of each classifier for the object recognition are not taken into account in the current methods of fuzzy density determination, which results in the loss of the important information for fusion recognition. To overcome this disadvantage, a fusion recognition algorithm based on fuzzy density determination with classification capability and supportability for each classifier is presented. In this algorithm, the fuzzy densities for the classifier fusion are adaptively determined by classification capability of each classifier for recognition results and supportability of each classifier for the object recognition. Thus, the multi-classifiers fusion recognition can be effectively realized. The proposed algorithm is used to recognize facial expression in natural interaction situation and Cohn-Kanade facial expression database. The experimental results show that the proposed algorithm effectively raises the accuracy of expression recognition.
Key wordsFusion Recognition      Fuzzy Density      Classification Capability      Supportability      Facial Expression Recognition     
Received: 11 November 2010     
ZTFLH: TP391.4  
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ZHAN Yong-Zhao
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MAO Qi-Rong
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ZHAN Yong-Zhao,ZHANG Juan,MAO Qi-Rong. Fusion Recognition Algorithm Based on Fuzzy Density Determination with Classification Capability and Supportability[J]. , 2012, 25(2): 346-351.
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