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
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
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 Matching Using Feature Space Correlation
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Core-Based Structure Matching Algorithm of Fingerprint Verification
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Fingerprint Recognition Systems
Automatic Fingerprint Recognition Systems
Fingerprint alignment using a two stage optimization
Pattern Recognition Letters
Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
A hybrid wavelet-based fingerprint matcher
Pattern Recognition
Combining minutiae descriptors for fingerprint matching
Pattern Recognition
Coarse fingerprint registration using orientation fields
EURASIP Journal on Applied Signal Processing
Local binary patterns for a hybrid fingerprint matcher
Pattern Recognition
A deformable model for fingerprint matching
Pattern Recognition
A minutia-based partial fingerprint recognition system
Pattern Recognition
Fingerprint quality indices for predicting authentication performance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
An algorithm for distorted fingerprint matching based on local triangle feature set
IEEE Transactions on Information Forensics and Security
Time-series detection of perspiration as a liveness test in fingerprint devices
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
A new algorithm for distorted fingerprints matching based on normalized fuzzy similarity measure
IEEE Transactions on Image Processing
Fingerprint registration by maximization of mutual information
IEEE Transactions on Image Processing
Adaptive fingerprint pore modeling and extraction
Pattern Recognition
A method for fingerprint alignment and matching
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Assessing the level of difficulty of fingerprint datasets based on relative quality measures
Information Sciences: an International Journal
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This paper discusses the alignment of high resolution partial fingerprints, which is a crucial step in partial fingerprint recognition. The previously developed fingerprint alignment methods, including minutia-based and non-minutia feature based ones, are unsuitable for partial fingerprints because small fingerprint fragments often do not have enough features required by these methods. In this paper, we propose a new approach to aligning high resolution partial fingerprints based on pores, a type of fingerprint fine ridge features that are abundant on even small fingerprint areas. Pores are first extracted from the fingerprint images by using a difference of Gaussian filtering approach. After pore detection, a novel pore-valley descriptor (PVD) is proposed to characterize pores based on their locations and orientations, as well as the ridge orientation fields and valley structures around them. A PVD-based coarse-to-fine pore matching algorithm is then developed to locate pore correspondences. Once the corresponding pores are determined, the alignment transformation between two partial fingerprints can be estimated. The proposed method is compared with representative minutia based and orientation field based methods using the established high resolution partial fingerprint dataset and two fingerprint matchers. The experimental results show that the PVD-based method can more accurately locate corresponding feature points, estimate the alignment transformations, and hence significantly improve the accuracy of high resolution partial fingerprint recognition.