Face recognition based on confidence measure discriminative EHMM
Luo Lie · Jisuanji yingyong yanjiu · 2010
To improve face recognition rate, this paper proposed a face recognition scheme based on confidence measure discriminative EHMM. Based on hypothesis test, the proposed scheme deduced the optimized confidence measure discriminative training criterion by minimizing mis-verification error rate. With the criterion, the scheme estimated model parameters to obtain discriminative transformation matrix and extract low-dimentional and discriminative image feature, which assured the obsertion samples could be assigned to the corresponding states to improve recognition rate. Theoretical analysis proved the effectiveness of the criterion. Detailed experimental results and comparisons with the existed schemes show that the proposed scheme can get better recognition rate.