Human Recognition Based on Feature Fusion of Ear and Face
人耳人脸特征融合在身份鉴别中的研究

The performance of single ear recognition is very poor when there is a pose variation.Because the properties of ear and face images are similar and the positions of the two features are complimentary,we improve the recognition rate using multi-modal feature fusion method.Aiming at difference from conventional independent Component Analysis(ICA1),we proposed a deformation of it to obtain statistical independent feature vectors directly(ICA2).The results of ICA feature fusion on the USTB database show that th...