二维主分量分类器

Two-Dimensional Principle Component Classifier

在主分量分类器(PCC)的基础上提出了二维主分量分类器方法,具有速度快、算法简便的特点.人脸性别分类结果表明,所提出的方法在识别性能上优于主分量分类器;另外,算法执行时间具有很大的改进.

Two- dimensional principle component classifier （2DPCC） is proposed based the principle component classifier （PCC） algorithm. The proposed method is used in gender classification and the experimental results indicate that it is computationally mere efficient than the PCC algorithm, and the recognition results are better than PCC.