TITLE:
Fingerprint Recognition with Artificial Neural Networks: Application to E-Learning
AUTHORS:
Stephane Kouamo, Claude Tangha
KEYWORDS:
Neural Networks, Pattern Recognition, Fingerprint, Back-Propagation, E-Learning
JOURNAL NAME:
Journal of Intelligent Learning Systems and Applications,
Vol.8 No.2,
May
30,
2016
ABSTRACT: Fingerprint recognition is a mature
biometric technique for identification or authentication application. In this
work, we describe a method based on the use of neural network to authenticate
people who want to accede to an automated fingerprint system for E-learning.
The idea is to apply back propagation algorithm on a multilayer perceptron
during the training stage. One of the advantages of this technique is the use
of a hidden layer which allows the network to make comparison by calculating
probabilities on template which are invariant to translation and rotation. Results
come both from the NIST special database 4 and a local database, and show that
a proposed method gives good results in some cases.