An accurate fingerprint orientation modeling algorithm

Abstract

Orientation field (OF) plays a crucial role in singular point detection, fingerprint image enhancement, fingerprint matching, fingerprint indexing, fingerprint synthesis, fingerprint registration and fingerprint classification. Thus, an accurate OF estimation algorithm is proposed in this paper. It presents a novel OF regularization algorithm based on variational approach, which aims to preserve the genuine OF in the areas containing uniform flow and to accurately reconstruct the OF in bad quality areas. Estimated OF may be spurious in singular points close-by areas thus, it is further refined by weighted OF modeling based on Fourier basis. Experimental results are conducted on a publicly available database, FVC2004DB1A in terms of singular point detection and deviation in OF. It demonstrated that the proposed algorithm exhibit better performance that the state of the art algorithms.