一种自适应的T型结构掌纹分区算法  

An Adaptive T-structure Based Palmprint Partitioning Algorithm

作　　者：高欣[1] 刘重晋[1] 封举富[1] 

机构地区：[1]北京大学信息科学技术学院机器感知与智能教育部重点实验室,北京100871

出　　处：《计算机辅助设计与图形学学报》2011年第9期1463-1467,共5页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家"九七三"重点基础研究发展规划项目(2011CB302400);国家自然科学基金(60635030)

摘　　要：掌纹图像可由一个T型结构分为指根区域、内侧区域和外侧区域3个部分,合理地利用这些分区信息,可以有效地提高掌纹识别的效率和正确率.为此,提出一种自适应的T型结构分区算法,利用掌纹中的主线信息,并结合掌纹的灰度和方向场构造一个目标函数;通过搜索寻找目标函数的最大值实现T型结构的定位,以实现对掌纹的分区.实验结果表明,采用文中的算法能够获得有效的掌纹分区结果.A Palmprint can be divided into finger-root region,inside region and outside region with a T-structure.By appropriately utilizing the region information,the efficiency and accuracy of palmprint recognition can be improved.In this paper,an adaptive algorithm of palmprint partitioning based on T-structure is proposed.An objective function is constructed by combining the information of major lines,together with the information of grey-scale level and the orientation of the palmprint ridges.Maximizing the objective function,the T-structure can be located and the palmprint is partitioned correspondingly.Our experiment results demonstrated that the proposed algorithm is effective in producing promising partitions.

关 键 词：掌纹识别 图像处理 掌纹分区 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]