On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining the minimum-area encasing rectangle for an arbitrary closed curve
Communications of the ACM
Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image enhancement and minutiae matching in fingerprint verification
Pattern Recognition Letters
A Structural Approach to Fingerprint Classification
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A Minutia Matching Algorithm in Fingerprint Verification
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint verification based on minutiae features: a review
Pattern Analysis & Applications
Fingerprint minutiae matching using the adjacent feature vector
Pattern Recognition Letters
Fingerprint Matching Based on Global Comprehensive Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint matching combining the global orientation field with minutia
Pattern Recognition Letters
Minutiae-based Fingerprint Matching Using Subset Combination
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Fingerprint matching using OrientationCodes and PolyLines
Pattern Recognition
Combining minutiae descriptors for fingerprint matching
Pattern Recognition
Segmentation of fingerprint images using linear classifier
EURASIP Journal on Applied Signal Processing
Local relative location error descriptor-based fingerprint minutiae matching
Pattern Recognition Letters
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
A minutia-based partial fingerprint recognition system
Pattern Recognition
A Memetic Fingerprint Matching Algorithm
IEEE Transactions on Information Forensics and Security - Part 1
A new algorithm for distorted fingerprints matching based on normalized fuzzy similarity measure
IEEE Transactions on Image Processing
Proceedings of the 2010 Symposium on Information and Communication Technology
Cognitive systems and bio-inspired computing in homeland security
Journal of Network and Computer Applications
Hi-index | 0.00 |
Extracting and fusing discriminative features in fingerprint matching, especially in distorted fingerprint matching, is a challenging task. In this paper, we introduce two novel features to deal with nonlinear distortion in fingerprints. One is finger placement direction which is extracted from fingerprint foreground and the other is ridge compatibility which is determined by the singular values of the affine matrix estimated by some matched minutiae and their associated ridges. Both of them are fixed-length and easy to be incorporated into matching score. In order to improve the matching performance, we combine these two features with orientation descriptor and local minutiae structure, which are used to measure minutiae similarity, to achieve fingerprint matching. In addition, we represent minutiae set as a graph and use graph connect component and iterative robust least square (IRLS) to detect creases and remove spurious minutiae close to creases. Experimental results on FVC2004 DB1 and DB3 demonstrate that the proposed algorithm could obtain promising results. The equal error rates (EER) are 3.35% and 1.49% on DB1 and DB3, respectively.