Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint image enhancement using filtering techniques
Real-Time Imaging
Fingerprint Enhancement by Spectral Analysis Techniques
AIPR '02 Proceedings of the 31st Applied Image Pattern Recognition Workshop on From Color to Hyperspectral: Advancements in Spectral Imagery Exploitation
A modified Gabor filter design method for fingerprint image enhancement
Pattern Recognition Letters
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Ridge-Line Density Estimation in Digital Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Fingerprint Image Enhancement by Pixel-Parallel Processing
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Knowledge Based Fingerprint Image Enhancement
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Fingerprint Image Enhancement using a Parallel Ridge Filter
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Ridge distance estimation in fingerprint images: algorithm and performance evaluation
EURASIP Journal on Applied Signal Processing
Adaptive fingerprint image enhancement with fingerprint image quality analysis
Image and Vision Computing
Fingerprint image enhancement using STFT analysis
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Implementation of Digital Electronic Arithmetics and its application in image processing
Computers and Electrical Engineering
Fingerprint verification using statistical descriptors
Digital Signal Processing
Multiple layers block overlapped histogram equalization for local content emphasis
Computers and Electrical Engineering
An integrated framework for biometrics security
iUBICOM'10 Proceedings of the 5th international conference on Ubiquitous and Collaborative Computing
A systematic gradient-based method for the computation of fingerprint's orientation field
Computers and Electrical Engineering
Hi-index | 0.00 |
The quality of fingerprint images (FIs) varies depending on the image taking method. The performance of automatic fingerprint recognition systems highly depends on the quality of the fingerprint images. In these images often are distorted areas, where the valleys and ridges are not clear and there are discontinuities at in the ridge flows. To overcome these unwanted defects fingerprint recognition systems employ enhancement algorithms to improve the quality of the images. Following, binarization, feature extraction, and matching algorithms are executed on the enhanced image. In real-time systems, the overall execution time has primary importance and therefore, especially the enhancement algorithm must be fast and effective. In this study, we propose a fast filtering method with a mask of parabolic coefficients based on the directions. The experiments executed on FVC2000 have proved that, the algorithm provides faster and better enhancements from those described in the literature.