Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
An active lattice model in a Bayesian framework
Computer Vision and Image Understanding
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
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Synthetic Fingerprint-Database Generation
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
FVC2002: Second Fingerprint Verification Competition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Effect of Controlled Image Acquisition of Fingerprint Matching
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A deformable model for fingerprint matching
Pattern Recognition
Deformable templates using large deformation kinematics
IEEE Transactions on Image Processing
Landmark matching via large deformation diffeomorphisms
IEEE Transactions on Image Processing
Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Poincare based singularities detection algorithm in fingerprint classification
MUSP'08 Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing
Fingerprint Verification Using Local Interest Points and Descriptors
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Removal of digitization errors in fingerprint ridgelines using B-splines
Pattern Recognition
Advances in fingerprint modeling
Image and Vision Computing
A novel matching algorithm for distorted fingerprints based on penalized quadratic model
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Mosaicing touchless and mirror-reflected fingerprint images
IEEE Transactions on Information Forensics and Security
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
WAMUS'07 Proceedings of the 7th WSEAS international conference on Wavelet analysis & multirate systems
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
Dual phase learning for large scale video gait recognition
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
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
Person identification using full-body motion and anthropometric biometrics from kinect videos
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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The performance of a fingerprint matching system is affected by the nonlinear deformation introduced in the fingerprint impression during image acquisition. This nonlinear deformation causes fingerprint features such as minutiae points and ridge curves to be distorted in a complex manner. A technique is presented to estimate the nonlinear distortion in fingerprint pairs based on ridge curve correspondences. The nonlinear distortion, represented using the thin-plate spline (TPS) function, aids in the estimation of an "average” deformation model for a specific finger when several impressions of that finger are available. The estimated average deformation is then utilized to distort the template fingerprint prior to matching it with an input fingerprint. The proposed deformation model based on ridge curves leads to a better alignment of two fingerprint images compared to a deformation model based on minutiae patterns. An index of deformation is proposed for selecting the "optimal” deformation model arising from multiple impressions associated with a finger. Results based on experimental data consisting of 1,600 fingerprints corresponding to 50 different fingers collected over a period of two weeks show that incorporating the proposed deformation model results in an improvement in the matching performance.