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Unsupervised Learning of Fingerprint Rotations
BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group
The alignment of fingerprint samples is a preprocessing step in fingerprint recognition. It allows an improved biometric feature extraction and a more accurate biometric comparison. We propose to use Convolutional Neural Networks for estimation of the rotational part. The main contribution is an unsupervised training ...