Associating minutiae between distorted fingerprints using minimal spanning tree

Authors:
En Zhu;Edwin Hancock;Peng Ren;Jianping Yin;Jianming Zhang
Affiliations:
School of Computer Science, National University of Defense Technology, Changsha, China;Department of Computer Science, University of York, York, UK;Department of Computer Science, University of York, York, UK;School of Computer Science, National University of Defense Technology, Changsha, China;Department of Computer Science, Hunan City University, Yiyang, China
Venue:
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Year:
2010

Citing 7
Cited 0

Principal Warps: Thin-Plate Splines and the Decomposition of Deformations

IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line Fingerprint Verification

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Warping Using Ridge Curve Correspondences

IEEE Transactions on Pattern Analysis and Machine Intelligence
A systematic method for fingerprint ridge orientation estimation and image segmentation

Pattern Recognition
A compensation scheme of fingerprint distortion using combined radial basis function model for ubiquitous services

Computer Communications
Fingerprint matching based on global alignment of multiple reference minutiae

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes to associate minutiae between distorted fingerprints by locating two matched minimal spanning trees, and then apply affine transformation to one of the two images. This process is iterated until correspondences are stable. A radial basis function –based warping model is established from the final correspondences, and is applied to nonlinearly align the two images. The experimental results show that the proposed method leads to an improved matching performance.