Human ear recognition is a biometric recognition technology that has emerged in recent years, but the pose problem has always been one of its difficult problems, and a new method based on base-space transformation is proposed to solve this problem. Firstly, the base space of the pose human ear image and the positive side human ear image is obtained by using the principal element analysis and nuclear principal element analysis methods, and the pose conversion matrix is obtained by calculating the linear conversion relationship between the two base spaces, and then the pose human ear image feature set to be measured is transformed into the positive side human ear image feature set by using the base space pose conversion matrix, and finally the support vector machine is used for classification and recognition. Experimental results show that the recognition rate of this method is significantly improved compared with the method without attitude transformation.