Computer Science ›› 2016, Vol. 43 ›› Issue (5): 308-312.doi: 10.11896/j.issn.1002-137X.2016.05.059

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Fast Image Recognition Method Based on Locality-constrained Linear Coding

CHEN Guang-xi, GONG Zhen-ting, WEN Pei-zhi and REN Xia-li   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The traditional image recognition methods,such as ScSPM and LLC,are based on the SIFT feature,ignoring the limitations of artificial features,and the single image recognition time-consuming takes slightly longer.Considering these deficiencies,this paper proposed a fast recognition method for image based on locality-constrained linear coding.The method first directly uses locality-constrained linear coding to extract local features’ descriptors of image,then uses the linear spatial pyramid matching(LSPM) to calculate feature descriptors,and inputs the results into the linear support vector machine(LSVM) for training and testing.The experimental results for three usual image data sets show that the method has good recognition accuracy,and at the same time greatly reduces the signal image recognition time-consuming,which verifies the effectiveness of this method in the image recognition.

Key words: Locality-constrained linear coding,Linear spatial pyramid match,Linear support vector machine,Single image recognition time-consuming

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