Learning Fingerprint Orientation Fields Using Continuous Restricted Boltzmann Machines

We aim to learn local orientation field patterns in fingerprints and correct distorted field patterns in noisy fingerprint images. This is formulated as a learning problem and achieved using two continuous restricted Boltzmann machines. The learnt orientation fields are then used in conjunction with...

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Bibliographic Details

Published in:	Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing pp. 351 - 355
Main Authors:	Sahasrabudhe, Mihir, Namboodiri, Anoop M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2013
Subjects:	Algorithm design and analysis Backpropagation Biometrics Continuous Restricted Boltzmann Machines Fingerprint Enhancement Gabor Filters Machine Learning Neurons Noise Noise measurement Training
ISSN:	0730-6512
Online Access:	Get full text
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