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 co...

Full description

Saved in:
Bibliographic Details
Published in2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing pp. 250 - 253
Main Authors Chih-Jen Lee, I-Horng Jeng, Tai-Ning Yang, Chun-Jung Chen, Peng Su
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2009
Subjects
discrete Fourier filters
Discrete Fourier transforms
Discrete transforms
Fast Fourier transforms
Fingerprint recognition
Fourier transforms
Frequency
Gabor filters
Image matching
Robustness
Signal processing
singular point detection
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9781424447176
1424447178
DOI:10.1109/IIH-MSP.2009.57