一种基于MFRAT和ICP的掌纹主线提取和配准算法  

An Improved Algorithm of Principal Line Extraction and Registration Based on MFRAT and ICP

作　　者：向北海[1] 于肇贤[1] 曲寒冰[2] 

机构地区：[1]北京信息科技大学理学院,北京100192 [2]北京市新技术应用研究所,北京100021

出　　处：《模式识别与人工智能》2015年第3期260-265,共6页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金项目(No.11171032)资助

摘　　要：为提高受旋转和平移影响的掌纹图像的识别精度,文中采用一种基于方向最近邻域(DNN)搜索的迭代最近点(ICP)图像配准算法,对掌纹主纹线特征图像进行配准,同时在掌纹主纹线特征图像配准过程中采用粗配准和精配准相融合的配准方式.实验结果表明,该方法具有较高的计算效率和较好的抗旋转平移能力.To improve the recognition accuracy of palmprint images with some rotations and translations, the improved iterative closest point（ICP） algorithm based on direction and nearest neighbor（DNN） is proposed to make registration for principal-line feature images, and the strategy combining coarse registration and fine registration is taken in the process of principal-lines feature image registration. The experimental results show that the proposed method has high computational efficiency and good ability to resist rotation and translation.

关 键 词：主纹线 方向最近领域(DNN) 迭代最近点(ICP) 图像配准 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]