Singular Point Detection in Fingerprint Images by a Bank of Discrete Fourier Filters

Singular point detection is a critical process for both fingerprint matching and fingerprint classification. The process of singular points detection must be fast and robust; otherwise, the performance of the whole fingerprint recognition system would be influenced heavily. In this paper, we will combine the advantages of Poincareacute index and fast Fourier transform to develop a fast and robust approach for singular point detection and to avoid the time-consuming problem of Gabor transform-based approach.