A hierarchical fingerprint matching method based on rotation invariant features

Authors:
Dequn Zhao;Fei Su;Anni Cai
Affiliations:
School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R China;School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R China;School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R China
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

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Abstract

A hierarchical matching algorithm based on rotation invariant features to align two fingerprints is proposed in this paper The translation and rotational offsets are extracted using the maximum overlapped fingerprint images The proposed method can reduce the searching space in alignment, and what is more attractive is that it obviates the need for extracting minutiae points or the core point to align the fingerprint images Experimental results show that the proposed method is more robust than using the reference point or using the minutiae to align the fingerprint images.