An Algorithm for Fingerprint Incomplete Regions Reconstruction from Minutiae and Orientation Field

ZHANG Jie; JING Xiao-jun; ZHANG Bo; WANG Dong

doi:10.3969/j.issn.0372-2112.2012.10.035

您当前的位置：

首页 >

文章列表页 >

An Algorithm for Fingerprint Incomplete Regions Reconstruction from Minutiae and Orientation Field

更新时间：2025-07-16

- An Algorithm for Fingerprint Incomplete Regions Reconstruction from Minutiae and Orientation Field
- Acta Electronica Sinica Vol. 40, Issue 10, Pages: 2112-2116(2012)
- 作者机构：
  
  1. 北京邮电大学信息与通信工程学院,北京,100876
  2. 可信分布式计算与服务教育部重点实验室,北京,100876
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.60872148);National Natural Science Foundation of China (No.61143008)
- DOI：10.3969/j.issn.0372-2112.2012.10.035
  CLC： TN911.73
- Published：2012
- 稿件说明：
移动端阅览
ZHANG Jie, JING Xiao-jun, ZHANG Bo, et al. An Algorithm for Fingerprint Incomplete Regions Reconstruction from Minutiae and Orientation Field[J]. Acta Electronica Sinica, 2012, 40(10): 2112-2116.
DOI：

ZHANG Jie, JING Xiao-jun, ZHANG Bo, et al. An Algorithm for Fingerprint Incomplete Regions Reconstruction from Minutiae and Orientation Field[J]. Acta Electronica Sinica, 2012, 40(10): 2112-2116. DOI： 10.3969/j.issn.0372-2112.2012.10.035.

摘要

由于指纹的残缺区域缺失有效信息

使得通过细节点和脊线信息来进行指纹匹配的工作难以进行.本文针对指纹残缺区域中脊线断裂和细节点缺失的现象

提出了一种重建算法.融合邻域中的细节点和方向场信息对残缺区域的方向场进行估计;然后基于估计出的方向场并结合先验知识来分析残缺部分的脊线与细节点分布情况

对其进行修复;最后

引入信息熵对多种重建方案进行评估

从而确定残缺部分的最佳重建结果.实验结果表明

该算法能够对面积较大并可能包含细节点的残缺区域进行较好的重建

进而提高后续匹配过程的准确率.

Abstract

An incomplete fingerprint is one which contains noise and cannot be recognized in some areas.In some cases

it may not provide sufficient minutiae or ridge details for undertaking a normal matching process.This paper proposes an algorithm to reconstruct incomplete regions.The nearest minutiae and orientation field of neighborhood are combined to estimate the unknown orientation field.Previous outcome is used to connect disrupted ridges and recover missed minutiae based on ridge topology features

and arrive several rational schemes.They are measured by using entropy and the best is chosen.The experimental results demonstrate that proposed algorithm is effective in reconstructing incomplete fingerprint

and hence improve the performance of matching.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fusion Algorithm for Incomplete Fingerprint Orientation Field Reconstruction Based on Gradient Dispersion and Mutual Information

Convolutional Neural Network Compression Based on Adaptive Layer Entropy

Proximity Operator and Its Application in Rapid MR Image Reconstruction

Extracting Doppler Ultrasound Blood Signals Based on the Cubic Spline Reconstruction

A Study of Ill-Conditioned Problem in Reconstruction of Layered Medium inside Coaxial Line

Related Author

ZHANG Shao-le

SUN Song-lin

JING Xiao-jun

ZHANG Bo

CHEN Ying

WEI Yu-xuan

MA Jian-hua

CAO Bao-xiang

Related Institution

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications

The Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University

南方医科大学生物医学工程学院医学信息研究所广东广州

曲阜师范大学计算机科学学院山东曲阜

南方医科大学生物医学工程学院医学信息研究所

⁰