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...

Celý popis

Podrobná bibliografia

Vydané v:	Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing s. 351 - 355
Hlavní autori:	Sahasrabudhe, Mihir, Namboodiri, Anoop M.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2013
Predmet:	Algorithm design and analysis Backpropagation Biometrics Continuous Restricted Boltzmann Machines Fingerprint Enhancement Gabor Filters Machine Learning Neurons Noise Noise measurement Training
ISSN:	0730-6512
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!