Computer Science ›› 2018, Vol. 45 ›› Issue (2): 90-93.doi: 10.11896/j.issn.1002-137X.2018.02.015

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Generalized Discriminant Local Median Preserving Projections and Face Recognition

ZHANG Yong and WAN Ming-hua   

  • Online:2018-02-15 Published:2018-11-13

Abstract: To solve the problem of the singularity of the within-class scatter matrix in discriminant local median preserving projections (DLMPP) in the case of small sample problem,an algorithm named generalized local median preserving projection (GDLMPP) was proposed.To solve the small sample problem,GDLMPP firstly transforms the samples into a lower dimensional space equivalently,and then solves the optimal projection matrix.The theoretical analysis shows that GDLMPP is equivalent to DLMPP when the within-class scatter matrix is non-singular.At last,the experimental results validate the effectiveness of the proposed algorithm on the ORL and AR face databases.

Key words: Face recognition,Feature extraction,Small sample problem,Discriminant local median preserving projections

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