Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint image enhancement using filtering techniques
Real-Time Imaging
Image enhancement and minutiae matching in fingerprint verification
Pattern Recognition Letters
A modified Gabor filter design method for fingerprint image enhancement
Pattern Recognition Letters
Image filter design for fingerprint enhancement
ISCV '95 Proceedings of the International Symposium on Computer Vision
Fingerprint enhancement with dyadic scale-space
Pattern Recognition Letters
Fingerprint enhancement using STFT analysis
Pattern Recognition
Design and implementation of Log-Gabor filter in fingerprint image enhancement
Pattern Recognition Letters
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Performance and Computational Complexity Comparison of Block-Based Fingerprint Enhancement
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Modelling fingerprint ridge orientation using Legendre polynomials
Pattern Recognition
Complementary variance energy for fingerprint segmentation
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A Width-Independent Fast Thinning Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection
IEEE Transactions on Image Processing
Local Features for Enhancement and Minutiae Extraction in Fingerprints
IEEE Transactions on Image Processing
Fingerprint enhancement based on discrete cosine transform
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Fast fingerprint identification for large databases
Pattern Recognition
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Adaptive boosted spectral filtering, a novel fingerprint enhancement algorithm, is based on a progressive enhancement and feedback in a spatial-partitioning, frequency-domain approach. The proposed algorithm applies a Gaussian-matched filter starting from high-quality regions and then iteratively propagating good spectra of enhanced ridges to lower-quality regions. The Gaussian-matched filter does not rely on estimation of contextual information such as local ridge orientation and local ridge frequency. This algorithm can effectively enhance the singular point zone and accumulatively improve very low-quality zones. Compared with various enhancement algorithms and some advanced fingerprint modeling with traditional Gabor enhancement algorithms, the proposed algorithm gives the best average equal error rate in 8 out of 15 fingerprint verification competition databases. The proposed algorithm is very promising for the improvement of fingerprint recognition system accuracy in the near future.