基于各向异性扩散和冲击滤波的指纹图像增强算法  

Fingerprint image enhancement algorithm based on shock filtering and anisotropic diffusion

作　　者：王丹 张小波 WANG Dan;ZHANG Xiaobo(School of Computer Science,Xi'an Shiyou University,Xi'an 710065,China)

机构地区：[1]西安石油大学计算机学院

出　　处：《智能计算机与应用》2019年第5期320-322,325,共4页Intelligent Computer and Applications

摘　　要：指纹图像增强是指纹识别过程的预处理步骤中重要的一环,目的是修复退化的指纹图像,提高指纹图像的对比度以及连接断裂的纹线。在仔细研究各向异性扩散算法之后,结合冲击滤波算法,提出一种基于各向异性扩散和冲击滤波的两阶段式指纹图像增强算法。实验结果表明,该方法既能够保留相干增强扩散的修补指纹图像间断线的积极成果,又能增强指纹图像的边缘和对比度。Fingerprint image enhancement is an important part of the pre-processing step of the fingerprint recognition process.The purpose is to repair the degraded fingerprint image,improve the contrast of the fingerprint image and connect the broken lines.After careful study of the anisotropic diffusion algorithm,combined with the shock filtering algorithm,a two-stage fingerprint image enhancement algorithm based on anisotropic diffusion and shock filtering is proposed.The experimental results show that the method can not only preserve the advantages of repairing the ridge gap of coherent enhanced diffusion,but also sharpen the edge of the fingerprint ridge and enhance the contrast of the ridge line.

关 键 词：各向异性扩散 冲击滤波 指纹增强 对比度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]