Dorsal hand vein recognition based on Riesz Wavelet Transform and Local Line Binary Pattern

R. Malutan, S. Emerich, S. Crisan, O. Pop, László Lefkovits
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引用次数: 4

Abstract

Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of dorsal hand vein patterns, for biometric recognition. Two multiresolution approaches, Discrete Wavelet Transform and Riesz Wavelet Transform, are firstly applied to extract directional image features. The resulted coefficients are encoded based on an ordinal procedure, namely Local Line Binary Pattern.
基于Riesz小波变换和局部线二值模式的手背静脉识别
在过去的几十年里,生物识别技术被广泛用于安全目的和增加人们对新信息系统的信心。本文提出了一种新的手背静脉模式分析和编码方法,用于生物特征识别。首先采用离散小波变换和Riesz小波变换两种多分辨率方法提取图像的方向性特征。所得到的系数是基于一个有序的过程,即局部线二进制模式编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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