关键词: 人耳识别, Haar特征, 局部二值模式, 梯度方向直方图

Abstract: The human ear has a lot of structural features. For the insufficiency of the single feature description affecting the ear recognition rate, an ear recognition algorithm based on the Haar local feature is proposed. The algorithm uses elliptical LBP operator and HOG operator which are in line with the external shape of the human ear to extract the texture features and edge features of the image, and fuse the two features. The advantages of using Haar feature calculations are introduced into LBP and HOG feature extraction. The elliptic LBP operator and HOG operator are constructed by designing four groups of Haar coding modes. The experiment and analysis of the improved algorithm are carried out. The experimental results show the effectiveness and practicability of the algorithm.

Key words: ear recognition, Haar feature, local binary pattern, histogram of oriented gradient