Recent Advances in Fingerprint Verification
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Fingerprint Preselection Using Eigenfeatures
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A modified Gabor filter design method for fingerprint image enhancement
Pattern Recognition Letters
Fingerprint Card Classification with Statistical Feature Integration
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Feature Extraction Method for Palmprint Considering Elimination of Creases
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Fingerprint ridge orientation estimation based on neural network
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Fingerprint matching based on global alignment of multiple reference minutiae
Pattern Recognition
Fusion of multiple candidate orientations in fingerprints
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
A top-down fingerprint image enhancement method based on fourier analysis
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Fingerprint enhancement based on discrete cosine transform
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Adaptive boosted spectral filtering for progressive fingerprint enhancement
Pattern Recognition
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Fingerprint filter design and a method of enhancing fingerprint image are discussed. Two distinct filters in the Fourier domain are designed, a frequency filter corresponding to ridge frequencies and a direction filter corresponding to ridge directions on the basis of fingerprint ridge properties. An energy function for selecting image features, i.e. frequencies and directions, is defined by intensities of images obtained with the above filters and a measure of smoothness of the features. Using the image features which minimize the energy function, an enhanced image is produced from the filtered images. This image enhancement method is applied to fingerprint matching. In experiments with rolled prints, it is shown that the matching error rate is reduced by about two-thirds compared with Asai's method.