A Novel Fingerprint Classification Data Fusion Algorithm Based on Singularity and HMM

doi:null

您当前的位置：

首页 >

文章列表页 >

A Novel Fingerprint Classification Data Fusion Algorithm Based on Singularity and HMM

Article | 更新时间：2020-08-12

- A Novel Fingerprint Classification Data Fusion Algorithm Based on Singularity and HMM
- Optics and Precision Engineering Vol. 17, Issue 4, Pages: 874-879(2009)
- 作者机构：
  
  天津工业大学
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：25 June 2008，
  
  Revised：28 August 2008，
  
  Published Online：25 April 2009，
  
  Published：25 April 2009
- 稿件说明：
移动端阅览
罗菁. 基于奇异点和HMM的指纹分类数据融合方法[J]. 光学精密工程, 2009,17(4):874-879

A Novel Fingerprint Classification Data Fusion Algorithm Based on Singularity and HMM[J]. Optics and precision engineering, 2009, 17(4): 874-879.
罗菁. 基于奇异点和HMM的指纹分类数据融合方法[J]. 光学精密工程, 2009,17(4):874-879 DOI：

A Novel Fingerprint Classification Data Fusion Algorithm Based on Singularity and HMM[J]. Optics and precision engineering, 2009, 17(4): 874-879. DOI：

摘要

指纹分类技术是指纹数据库的一个重要索引机制。当待识指纹图像与模板图像之间存在较大平移和旋转时或遇到低质量的图像时，识别算法的性能会受到很大的影响。本文提出了一种基于奇异点和HMM的指纹分类数据融合方法。首先，分别对基于奇异点的指纹分类方法和基于HMM的指纹分类方法的信任度函数进行分配。然后，利用D-S证据理论进行融合完成指纹纹型分类，并在国际指纹竞赛数据库上作了测试，总的纹型辨识正确率可达94.5%，并且对平移、旋转和低质量的指纹图像具有良好的鲁棒性，具有一定的实用价值。

Abstract

Fingerprint classification is an important index mechanism. The performance of fingerprint recognition algorithm can be affected as a result of shift and rotation between a template fingerprint image and a compared fingerprint image or low quality fingerprint image. A novel fingerprint classification algorithm has been proposed in this paper

which is based on Singularity and HMM. Firstly

the belief function assignment of Singularity classification and HMM classification is determined

respectively

and then

the final classification result was obtained by using D-S evidence theory. The experimental results based on standard fingerprint datasets have verified the accuracy rate of classification was achieved to 94.5%. Moreover

the proposed algorithm had a good robustness to those fingerprint images of shift and rotation and low quality fingerprint image

thus this method has some values in practice.

关键词

Keywords

references

Views

247

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multimode composite guidance data fusion method and its experimental validation

Integrated 2D-3D LiDAR-vision fusion vehicle speed estimation based on image frustum

Coordinate unification and data fusion for composite measurement with contact and white light interferometric probes

Signal fusion of silicon micro-gyroscope array of micro/nano-sate

Phase shifting fringe profilometry based portable 3D measurement system

Related Author

SHE Junchao

WANG Daihua

WU Hui

LIU Shuxin

LI Na

YANG He

HUANG Yuchun

ZHOU Kuiyu

Related Institution

Southwest Institute of Technical Physics

College of Optoelectronic Engineering， Chongqing University

Troops of PLA

Transportation Development Center of Henan Province

School of Remote Sensing and Information Engineering， Wuhan University

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰