Abstract In this paper, the opinion is presented that category feature includes two kinds: classification feature and recognition feature. The idea is described that category feature can be received by traditional PCA (principal component analysis) and improved PCA. The example calculating category feature is given in this paper. The analysis shows that the recognition precision will be improved greatly as the unknown target is compared twice by two kinds of category feature.
LI JunMei,HU YiHua. Research on Principal Component Analysis in Choosing Target Category Feature and Its Application to Target Recognition[J]. , 2006, 19(1): 106-110.
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2006, Vol. 19 
