一种基于LBP和DLDA的人耳特征提取方法

A Feature Extraction Algorithm of Ear Image Based on LBP and DLDA

本文提出了一种新的基于局部二值模式(LBP)和直接线性判别(DLDA)的人耳特征提取方法。LBP对局部纹理信息特征的提取性能和与灰度整体变换的无关性,使得其在人耳特征提取方面具有很强的优越性。采用LBP算法与直接线性判别分析算法相结合的人耳特征提取方法在识别率方面与原始图像特征提取方法相比有明显提升。

This paper put forward a new feature extraction algorithm of ear image based on LBP and DLDA algorithm. The irrelevant of the gray scale integer transform and the local texture feature extracting performance make the LBP algorithm have great advantage in ear image feature extraction. The algorithm ear discriminant analysis have distinct advance than the extraction algorithm using the rate. based on LBP and direct linoriginal image in recognition