Computer Science ›› 2019, Vol. 46 ›› Issue (10): 307-310.doi: 10.11896/jsjkx.190300061

• Graphics,Image & Pattern Recognition • Previous Articles     Next Articles

Face Recognition Method Based on Adaptively Weighted Sub-pattern Discriminant Neighborhood Projection

YANG Liu1, CHEN Li-min1, YI Yu-gen2   

  1. (School of Computer Science and Information Technology,Mudanjiang Normal University,Mudanjiang,Heilongjiang 157012,China)1
    (School of Software,Jiangxi Normal University,Nanchang 330022,China)2
  • Received:2019-03-15 Revised:2019-05-22 Online:2019-10-15 Published:2019-10-21

Abstract: Face recognition is one of the hot topics in the image processing and pattern recognition,an adaptively weighted sub-pattern discriminant neighborhood projection method was proposed for face recognition.Firstly,the face images are divided into several small blocks,and the sub images with same position are used to construct the sub-pattern set.Then,in order to improve the discrimination ability of low dimensional features,the local data structure information and the label information of each sub pattern set are employed to construct a local discriminant neighborhood graph.Finally,for taking different contribution of different sub-pattern into account,a non negative weight vector is introduced to combine with the local scatter matrices of all sub-pattern sets,in order to find out the complementary information between different sub-image of the same faceimage.The experimental results show that the proposed method is superior to other methods.

Key words: Adaptive weighting, Face recognition, Label information, Local structure, Sub-pattern

CLC Number: 

  • TP391.4
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