文献类型：期刊文献

中文题名：一种基于二维匹配滤波器的掌纹识别算法

英文题名：Palmprint Recognition Based on Two-Dimensional Matched Filter

作者：顾晓峰[1];朱宏擎[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2017

卷号：43

期号：1

起止页码：90

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD_E2017_2018】；

基金：国家自然科学基金(61371150)

语种：中文

中文关键词：二维匹配滤波;双方向编码;掌纹识别

外文关键词：2D matched filtered;;double-orientations code;;palmprint recognition

摘要：在掌纹识别算法中,基于Gabor滤波器和方向编码方法得到了广泛的研究和应用,但是此类方法一般使用Gabor滤波器提取特征,易受噪声和散焦等外界因素的影响。针对此问题,本文提出了一种基于匹配滤波器的算法。该算法使用二维匹配滤波器提取图像特征,采用双方向编码(DOC)匹配方法表征特征之间的相似度。实验结果表明,该算法对于噪声、散焦和平移等干扰都具有很好的鲁棒性,验证了该算法的可行性。
As one of the palmprint recognition algorithms,the Gabor filter and orientation code based method has obtained widely researches and applications.However,this class of method is easily influenced by noise and defocus.Aiming at the above shortcoming,this paper proposes a 2D matched filter based method,which firstly uses the match filter to extract features and then,employs the double-orientations code(DOC)scheme to encode the result of filter and measure the similarity of palmprint.The experimental results show that the proposed method is robust against noise,defocus and translation,which verifies the effectiveness of the proposed method.