基于伪线性方向扩散方程的指纹图像增强  

Fingerprint Image Enhancement by Pseudo-Linear Directional Diffusion PDE

作　　者：朱立新[1] 欧阳晓丽[1] 夏德深[1] 

机构地区：[1]南京理工大学计算机科学与技术学院

出　　处：《模式识别与人工智能》2006年第6期806-811,共6页Pattern Recognition and Artificial Intelligence

摘　　要：根据指纹图像上纹路的方向特性,提出一种伪线性的基于方向扩散方程的指纹增强方法。首先总结原有相关扩散方程的优缺点,并针对相关扩散方程在方向信息较复杂情况下,不能够沿着指纹纹路方向扩散提出改进方法,改进后的方法具有更好的方向扩散特性,在去噪和保持指纹图像纹路信息方面表现更优。最后,针对改进的方法具有非线性偏微分方程的形式,计算复杂度较高的不足,提出伪线性形式的方向扩散方程。该方法具有线性算子的优点、计算量小,有利于指纹识别实时系统应用。A pseudo-linear directional diffusion filter is proposed to enhance the fingerprint images according to their directional infomation. In this paper , the defects of coherent diffusion expressed in a divergence form are discussed which produce a artificial structure and a new nonlinear directional diffusion PDE is proposed to overcome its drawbacks. The new algorithm outperforms the coherent diffusion based image enhancement in denoising ability and structure information preservation. Finally, a pseudo -linear expression of the method is proposed and discussed to decrease the computational burden. The pseudo-linear method is more suitable to the real-time fingerprint recognition system because of its efficiency.

关 键 词：相关扩散方程 指纹图像 图像增强 指纹识别 模式识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]