Computer Science ›› 2015, Vol. 42 ›› Issue (Z11): 209-212.

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Application of SURF Feature and Preprocessing RANSAC Algorithm in Face Recognition

JIANG Ling-zhi   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In the face recognition problem,a fast recognition method based on SURF features was proposed.Firstly,the SURF feature points are extracted from the preprocessed face image,and the nearest neighbor matching method is used for coarse matching of feature points.Secondly,the feature points of the coarse matching are processed by KMeans clustering algorithm to filter out the apparently inappropriate matches.Then RANSAC algorithm is used to achieve the precise matching of filtered feature points,in order to achieve accurate matching of recognition of face feature points.The experimental results show that the proposed method is suitable for the fast matching of face images in the mobile phone terminal,and has strong robustness and practical value.

Key words: SURF,Feature point,RANSAC,Face recognition,Pretreatment,Clustering algorithm,KMeans

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