【作者】 陆爽； 杜加萍； 彭力；

【Author】 LU Shuang,DU Jia-ping,PENG Li (School of Control and Communication Engineering,Jiangnan University,Wuxi214122,China)

【机构】 通信与控制工程学院；

【摘要】 为了近红外克服光源设置、手背厚度及手上水纹对手背静脉图像的影响,提出一种新的手背静脉特征提取方法。首先利用了最近邻图像插值缩放图像弱化了噪声对特征提取的影响,同时减少了计算量。然后分别利用Canny算子和K-均值聚类图像分割方法对经过了预处理的图象进行手背静脉特征提取。最后利用简单的加权平均得到较理想的手背静脉特征。实验证明,该方法能较好的滤除噪声干扰。更多还原

【Abstract】 In order to overcome the effects which light source,the thickness of the hand skin or water refraction take on the hand vein picture,we propose a novel algorithm to extract the hand vein features.Firstly,we use the Nearest-neighbor interpolation to reduce the noise as well as the calculate amount.Then,we use a combination of Canny operator and K-means cluster to extract features of the images after preprocessing.The results presented in this paper indicate the new method proposed here can filter the noise effectively.更多还原