【摘要】 研究基于三维点云匹配的多位姿手部静脉识别.考虑手部静脉点云的特点,结合双目视觉原理,建立了一种结合三维特征阵列和静脉点云的扩展数据库,提出了一种基于三维特征阵列的静脉点云粗配准算法.在双目静脉图像中提取稳定特征并重建为三维特征,根据三维特征匹配结果初步消除静脉点云位姿差异.并采用改进的正态分布变换算法完成静脉点云匹配.实验表明,本文算法能够有效提高多位姿下的静脉点云识别率,即使手部位姿变化范围较大时,系统的识别率仍超过90%.更多还原

【Abstract】 A multi-pose hand vein recognition algorithm was proposed based on 3 Dpoint cloud matching.Considering the characteristics of hand vein point cloud,an extended database that combines 3 Dfeature arrays and vein point cloud data was established according to stereo vision principle.A 3 Dfeature array based calculation method was proposed for coarse point cloud registration.In stereo vein image,the stable feature points were extracted and reconstructed to three-dimensional features.The posture difference of hand vein point clouds was eliminated according to the result of 3 Dfeature matching.An improved normal distribution transform algorithm was used to complete the vein point cloud matching.Experiment results show that the proposed algorithm can effectively improve the recognition rate under multi-pose.The recognition rate of the system can be more than 90%,even if the hand posture changes in a large range.更多还原