ICA and BP neural network based fingerprint recognition

DOI

10.2991/icaise.2013.14How to use a DOI?

Keywords

Fingerprint recognition, strong noise, FastICA, BP neural network

Abstract

According to the recognition of fuzzy fingerprint and the ones with strong noise, proposed a new method which combining the ICA (Independent Component Algorithm) and BP (Back Propagation) neural network. First, using the FastICA method to extract fingerprint characteristics, then classify and recognize them by a three- layers BP neural network. This method combines the local feature extraction capability of ICA, as well as the adaptive ability and robustness of BP neural network. Experiments show that this method has a higher recognition rate of the fingerprints with strong noise.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lu Zhao
AU  - Wenyong Wang
PY  - 2013/08
DA  - 2013/08
TI  - ICA and BP neural network based fingerprint recognition
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 59
EP  - 61
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.14
DO  - 10.2991/icaise.2013.14
ID  - Zhao2013/08
ER  -