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
Fingerprint Classification by Directional Image Partitioning
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
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Synthetic Fingerprint-Database Generation
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
A Minutia Matching Algorithm in Fingerprint Verification
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Fingerprint Identification Using Delaunay Triangulation
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Orientation-Improved Minutiae for Fingerprint Matching
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Performance Evaluation of Fingerprint Verification Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
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 ridges
Pattern Recognition
Rapid and brief communication: Orientation feature for fingerprint matching
Pattern Recognition
Ridge-based fingerprint recognition
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
An exact ridge matching algorithm for fingerprint verification
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Adaptive fingerprint enhancement by combination of quality factor and quantitative filters
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
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
Improving Fingerprint Matching Using an Orientation-Based Minutia Descriptor
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Combining features for distorted fingerprint matching
Journal of Network and Computer Applications
Proceedings of the 2010 Symposium on Information and Communication Technology
Minutia handedness: A novel global feature for minutiae-based fingerprint matching
Pattern Recognition Letters
Improving the multiple alignments strategy for fingerprint verification
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Engineering Applications of Artificial Intelligence
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Effectively incorporating various features with minutiae in fingerprint matching is a challenging task. This paper presents an algorithm to extract two novel discriminative features that describe three kinds of information: macro orientation patterns, micro ridge representation, and minutiae of fingerprints. These features, namely OrientationCodes and PolyLines, are fixed-length, easy to be measured in similarity, and effective in various stages of fingerprint matching, such as alignment, minutiae pairing, matching score computation, and matching rates fusion. In addition, the scheme of the proposed method has advantages of programming implementation, manipulating fingerprint matching much simpler and smoother at a high level. Experimental results on six data sets of FVC2002 and FVC2004 indicate the proposed algorithm not only achieves remarkably lower EERs, but also consumes significantly less computational times.