Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to fingerprint recognition
Intelligent biometric techniques in fingerprint and face recognition
On the Individuality of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modelling Plastic Distortion in Fingerprint Images
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
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We studied natural relative deformations of fingerprints using the methods of elasticity theory [1,2]. As shown by experiments, the registration of deformations results in almost 3 times improvement for direct overlap matching. Principal components of deformations (eigen deformations) are obtained here from the statistics of genuine matches of fingerprints from several public available databases [3,4]. Energy and cross-compatibility analysis for eigen deformations bases carried out on different datasets are adduced in couple with the examples of implementations where dimensionality reduction in the representation of elastic deformations yields significant advantage.