基于伪线性方向扩散方程的指纹图像增强

朱立新,欧阳晓丽,夏德深

PDF(1639 KB)
模式识别与人工智能 ›› 2006, Vol. 19 ›› Issue (6) : 806-811.
研究与应用

基于伪线性方向扩散方程的指纹图像增强

作者信息 +

Fingerprint Image Enhancement by PseudoLinear Directional Diffusion PDE

Author information +
History +

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.

Abstract

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

Key words

Coherent Diffusion / Fingerprint Image / Image Enhancement / Fingerprint Recognition / Pattern Recognition

引用本文

导出引用
朱立新 , 欧阳晓丽 , 夏德深. 基于伪线性方向扩散方程的指纹图像增强. 模式识别与人工智能. 2006, 19(6): 806-811
ZHU LiXin , OUYANG XiaoLi , XIA DeShen. Fingerprint Image Enhancement by PseudoLinear Directional Diffusion PDE. Pattern Recognition and Artificial Intelligence. 2006, 19(6): 806-811

参考文献

[1] Jain A, Hong L, Bolle R. On-Line Fingerprint Verification. IEEE Trans on Pattern Analysis and Machine Intelligence, 1997, 19(4): 302-314
[2] Gu J W, Zhou J, Zhang D. A Combination Model for Orientation Field of Fingerprints. Pattern Recognition, 2004, 37(3): 543-553
[3] Hong L, Wan Y F, Jain A. Fingerprint Image Enhancement: Algorithm and Performance Evaluation. IEEE Trans on Pattern Analysis and Machine Intelligence, 1998, 20(8): 777-789
[4] Hsieh C T, Lai E, Wang Y C. An Effective Algorithm for Fingerprint Image Enhancement Based on Wavelet Transform. Pattern Recognition, 2003, 36(2): 303-312
[5] He Y L, Tian J, Luo X P, et al. Image Enhancement and Minutia Matching in Fingerprint Verification. Pattern Recognition Letter, 2003, 24(9/10): 1349-1360
[6] Cheng Jiangang, Tian Jie, He Yuliang, et al. Fingerprint Enhancement Algorithm Based on Nonlinear Diffusion Filter. Acta Automatica Sinica, 2004, 30(6): 854-862 (in Chinese)
(程建刚, 田 捷, 何余良, 等. 基于非线性扩散滤波的指纹增强算法. 自动化学报, 2004, 30(6): 854-862)
[7] Weickert J. A Review of Nonlinear Diffusion Filtering // Romeny B M H, Florack L, Koenderink J J, et al, eds. Lecture Notes in Computer Science. London, UK: Springer-Verlag, 1997, 1252: 3-28
[8] Weickert J. Multiscale Texture Enhancement // Proc of the 6th International Conference on Computer Analysis of Images and Patterns. Prague, Czech Republic, 1995: 230-237
[9] Weickert J, Scharr H. A Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance. Journal of Visual Communication and Image Representation, 2002, 13(1/2): 103-118
PDF(1639 KB)

583

Accesses

0

Citation

Detail

段落导航
相关文章

/