基于2DPCA的颅骨识别研究

Study on Skull Recognition Based on 2DPCA

阐述了基于主成分分析和二维主成分分析的颅骨识别方法,比较了两种特征提取算法,通过比较得出:二维主成分分析速度快,不需要经过一个降维的过程,而且识别率高.在获得颅骨的三维几何信息后,对数据进行特征提取时采取的是二维主成分分析方法,从而提取颅骨图像的关键特征,最后利用常用的最近邻法则进行识别.

The paper mainly focuses on skuU recognition methods based on PCA and 2DPCA, as well as two kinds of contrastive feature extraction algorithm. Through research, 2DPCA is characterized by high speed and high recognition rate. To get the skull 3D geometric information, data feature recognition is taken to extract the key features of skull image when 2DPCA is adopted, thus use the nearest neighbor rule to identify.