Fingerprint matching using OrientationCodes and PolyLines
Pattern Recognition
Combining minutiae descriptors for fingerprint matching
Pattern Recognition
Local relative location error descriptor-based fingerprint minutiae matching
Pattern Recognition Letters
Advances in fingerprint modeling
Image and Vision Computing
High resolution partial fingerprint alignment using pore-valley descriptors
Pattern Recognition
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
Combining features for distorted fingerprint matching
Journal of Network and Computer Applications
WAMUS'07 Proceedings of the 7th WSEAS international conference on Wavelet analysis & multirate systems
Fuzzy models for fingerprint description
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Multi fuzzy vault based on secret sharing for deadlock restoration
International Journal of Information Technology and Management
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
Minutia handedness: A novel global feature for minutiae-based fingerprint matching
Pattern Recognition Letters
Fingerprint matching with an evolutionary approach
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Fast fingerprint identification for large databases
Pattern Recognition
On optimal operator for combining left and right sole pressure data in biometrics security
Advances in Fuzzy Systems
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Coping with nonlinear distortions in fingerprint matching is a challenging task. This paper proposes a novel algorithm, normalized fuzzy similarity measure (NFSM), to deal with the nonlinear distortions. The proposed algorithm has two main steps. First, the template and input fingerprints were aligned. In this process, the local topological structure matching was introduced to improve the robustness of global alignment. Second, the method NFSM was introduced to compute the similarity between the template and input fingerprints. The proposed algorithm was evaluated on fingerprints databases of FVC2004. Experimental results confirm that NFSM is a reliable and effective algorithm for fingerprint matching with nonliner distortions. The algorithm gives considerably higher matching scores compared to conventional matching algorithms for the deformed fingerprints.