Fingerprint image postprocessing: a combined statistical and structural approach
Pattern Recognition
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov random field modeling in image analysis
Markov random field modeling in image analysis
FVC2000: Fingerprint Verification Competition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint identification using space invariant transforms
Pattern Recognition Letters
Image enhancement and minutiae matching in fingerprint verification
Pattern Recognition Letters
Fingerprint Indexing Based on Novel Features of Minutiae Triplets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
FVC2002: Second Fingerprint Verification Competition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Knowledge Based Fingerprint Image Enhancement
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 enhancement with dyadic scale-space
Pattern Recognition Letters
Fingerprint matching with registration pattern inspection
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Fingerprint alignment using similarity histogram
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Fingerprint matching using OrientationCodes and PolyLines
Pattern Recognition
Local relative location error descriptor-based fingerprint minutiae matching
Pattern Recognition Letters
A hierachical fingerprint matching method based on the minutiae and ridge image
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Mathematical model of blob matching and modified Bhattacharyya coefficient
Image and Vision Computing
Fingerprint Matching Based on Neighboring Information and Penalized Logistic Regression
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
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
Adaptive fingerprint pore modeling and extraction
Pattern Recognition
A novel fingerprint matching method by excluding elastic distortion
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced 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
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
ISO/IEC standards for on-card biometric comparison
International Journal of Biometrics
Engineering Applications of Artificial Intelligence
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This paper introduces a novel algorithm based on global comprehensive similarity with three steps. To describe the Euclidean space-based relative features among minutiae, we first build a minutia-simplex that contains a pair of minutiae as well as their associated textures, with its transformation-variant and invariant relative features employed for the comprehensive similarity measurement and parameter estimation, respectively. By the second step, we use the ridge-based nearest neighborhood among minutiae to represent the ridge-based relative features among minutiae. With these ridge-based relative features, minutiae are grouped according to their affinity with a ridge. The Euclidean space-based and ridge-based relative features among minutiae reinforce each other in the representation of a fingerprint. Finally, we model the relationship between transformation and the comprehensive similarity between two fingerprints in terms of histogram for initial parameter estimation. Through these steps, our experiment shows that the method mentioned above is both effective and suitable for limited memory AFIS owing to its less than 1k byte template size.