JOURNAL ARTICLE

An efficient algorithm for fingerprint matching

Abstract

This paper proposes novel topology-based algorithms for fingerprint matching. Three major aspects of fingerprint matching are considered: local matching, tolerance to deformation and global matching. The approach improves both the accuracy and the speed of fingerprint identification. Computational geometry methods including Delaunay triangulation and spatial interpolation are used. The proposed methods are able to efficiently deal with the distortions of fingerprints. Experimental results confirm that the algorithms presented are effective and more efficient compared to other fingerprint matching algorithms

Keywords:
Delaunay triangulation Fingerprint (computing) Matching (statistics) Computer science Interpolation (computer graphics) Blossom algorithm Triangulation Fingerprint recognition Algorithm Artificial intelligence Pattern recognition (psychology) Computer vision Mathematics Image (mathematics)

Metrics

30
Cited By
2.88
FWCI (Field Weighted Citation Impact)
7
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Face recognition and analysis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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