基于DWT和2DLDA的人耳识别研究

摘要

根据离散小波变换(DWT)和二维线性鉴别分析(2DLDA)的特点,结合人耳图像特征,提出一种将DWT与2DLDA相结合的人耳图像识别方法.该方法对人耳图像进行DWT,选择其中的低频子带,在低频子带中利用2DLDA提取人耳图像特征,最后使用最近邻法则进行分类.实验结果表明,该方法识别效果优于2DLDA方法.%Based on the characteristic of discrete wavelet transform (DWT) and two dimensional linear discrimination analysis (2 DLDA),combined with human ear image features,a recognition method of the human ear image is put forward,which combines the DWT and 2DLDA.First of the method,decompose the human ear image using DWT to choose the low frequency subband,Then extract the features of human ear image using 2DLDA in the low frequency subband,finally use the nearest neighbor rule to classify the human ear image.The experimental results show that the recognition effect of this method is better than 2DLDA.