Fingerprint minutiae extraction based on principal curves

Authors:
Duoqian Miao;Qingshi Tang;Wenjie Fu
Affiliations:
Department of Computer Science and Engineering, Tongji University, Shanghai 200092, PR China;Department of Computer Science and Engineering, Tongji University, Shanghai 200092, PR China;Department of Computer Science and Engineering, Tongji University, Shanghai 200092, PR China
Venue:
Pattern Recognition Letters
Year:
2007

Citing 3
Cited 0

Fingerprint Image Enhancement: Algorithm and Performance Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast parallel algorithm for thinning digital patterns

Communications of the ACM
Principal curves: learning, design, and applications

Principal curves: learning, design, and applications

Quantified Score

Hi-index	0.10

Visualization

Abstract

It is important to extract minutiae of a fingerprint for the implementation of an auto fingerprint identification system. In this paper, the principal graph algorithm proposed by Kegl is used to obtain principal curves, which can be served as the skeletons of a fingerprint. Based on the obtained principal curves, a minutiae extraction algorithm is proposed to extract minutiae of the fingerprint. The experimental results indicate that principal curves obtained from the principal graph algorithm are smoother than the ones obtained from thinning algorithm, and the minutiae extracted by the proposed algorithm are more efficient.