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高欣, 刘重晋, 封举富. 一种自适应的T型结构掌纹分区算法[J]. 计算机辅助设计与图形学学报, 2011, 23(9): 1463-1467.
引用本文: 高欣, 刘重晋, 封举富. 一种自适应的T型结构掌纹分区算法[J]. 计算机辅助设计与图形学学报, 2011, 23(9): 1463-1467.
Gao Xin, Liu Zhongjin, Feng Jufu. An Adaptive T-structure Based Palmprint Partitioning Algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2011, 23(9): 1463-1467.
Citation: Gao Xin, Liu Zhongjin, Feng Jufu. An Adaptive T-structure Based Palmprint Partitioning Algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2011, 23(9): 1463-1467.

一种自适应的T型结构掌纹分区算法

An Adaptive T-structure Based Palmprint Partitioning Algorithm

  • 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.

     

    Abstract: 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.

     

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