An investigation into the skeletonization approach of Hilditch
Pattern Recognition
Fingerprint identification using graph matching
Pattern Recognition
Automated fingerprint recognition using structural matching
Pattern Recognition
Segmentation of fingerprint images—a composite method
Pattern Recognition
A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint identification using space invariant transforms
Pattern Recognition Letters
Fingerprint Matching Using Transformation Parameter Clustering
IEEE Computational Science & Engineering
Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Matching Using Feature Space Correlation
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
FVC2002: Second Fingerprint Verification Competition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Image filter design for fingerprint enhancement
ISCV '95 Proceedings of the International Symposium on Computer Vision
Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Tree System Approach for Fingerprint Pattern Recognition
IEEE Transactions on Computers
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Nonminutiae-based decision-level fusion for fingerprint verification
EURASIP Journal on Applied Signal Processing
Design and implementation of Log-Gabor filter in fingerprint image enhancement
Pattern Recognition Letters
Fingerprint ridge orientation estimation based on neural network
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Driver identification using finger-vein patterns with Radon transform and neural network
Expert Systems with Applications: An International Journal
Consensus fingerprint matching with genetically optimised approach
Pattern Recognition
Proceedings of the 2010 Symposium on Information and Communication Technology
Fusion of multiple candidate orientations in fingerprints
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Fingerprint matching based on octantal nearest-neighbor structure and core points
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Associating minutiae between distorted fingerprints using minimal spanning tree
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
A robust fingerprint matching approach: growing and fusing of local structures
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Fingerprint matching with an evolutionary approach
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Fake finger detection based on thin-plate spline distortion model
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Expert Systems with Applications: An International Journal
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Fingerprint matching is an important problem in fingerprint identification. A set of minutiae is usually used to represent a fingerprint. Most existing fingerprint identification systems match two fingerprints using minutiae-based method. Typically, they choose a reference minutia from the template fingerprint and the query fingerprint, respectively. When matching the two sets of minutiae, the template and the query, firstly reference minutiae pair is aligned coordinately and directionally, and secondly the matching score of the rest minutiae is evaluated. This method guarantees satisfactory alignments of regions adjacent to the reference minutiae. However, the alignments of regions far away from the reference minutiae are usually not so satisfactory. In this paper, we propose a minutia matching method based on global alignment of multiple pairs of reference minutiae. These reference minutiae are commonly distributed in various fingerprint regions. When matching, these pairs of reference minutiae are to be globally aligned, and those region pairs far away from the original reference minutiae will be aligned more satisfactorily. Experiment shows that this method leads to improvement in system identification performance.