A hierarchical fingerprint matching method based on rotation invariant features

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. © Springer-Verlag Berlin Heidelberg 2004.