Fingerprint image enhancement using STFT analysis

Authors:
Sharat Chikkerur;Venu Govindaraju;Alexander N. Cartwright
Affiliations:
Center for Unified Biometrics and Sensors, University at Buffalo, NY;Center for Unified Biometrics and Sensors, University at Buffalo, NY;Center for Unified Biometrics and Sensors, University at Buffalo, NY
Venue:
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

Citing 14
Cited 4

Fingerprint pattern classification

Pattern Recognition
Analyzing oriented patterns

Computer Vision, Graphics, and Image Processing
Segmentation of fingerprint images using the directional image

Pattern Recognition
An approach to fingerprint filter design

Pattern Recognition
Detection of singular points in fingerprint images

Pattern Recognition
Joint time-frequency analysis: methods and applications

Joint time-frequency analysis: methods and applications
Fingerprint Image Enhancement: Algorithm and Performance Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multichannel Approach to Fingerprint Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Classification by Directional Image Partitioning

IEEE Transactions on Pattern Analysis and Machine Intelligence
Signals and Systems

Signals and Systems
Digital Image Processing

Digital Image Processing
Handbook of Fingerprint Recognition

Handbook of Fingerprint Recognition
Fingerprint Image Enhancement Using Filtering Techniques

ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Neural Network Based Minutiae Filtering in Fingerprints

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2

Fingerprint enhancement using STFT analysis

Pattern Recognition
Design and implementation of Log-Gabor filter in fingerprint image enhancement

Pattern Recognition Letters
Technical Communication: A fast fingerprint image enhancement algorithm using a parabolic mask

Computers and Electrical Engineering
Complementary variance energy for fingerprint segmentation

MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling

Quantified Score

Hi-index	0.01

Visualization

Abstract

Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint recognition is still an open problem. Extracting features out of poor quality prints is the most challenging problem faced in this area. This paper introduces a new approach for fingerprint enhancement based on Short Time Fourier Transform(STFT) Analysis. STFT is a well known technique in signal processing to analyze non-stationary signals. Here we extend its application to 2D fingerprint images.The algorithm simultaneously estimates all the intrinsic properties of the fingerprints such as the foreground region mask, local ridge orientation and local frequency orientation. We have evaluated the algorithm over a set of 800 images from FVC2002 DB3 database and obtained a 17% relative improvement in the recognition rate.