Author(s)

Stephane Kouamo, Claude Tangha

Department of Computer Science, University of Yaounde I, Yaounde, Cameroon.

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.

Neural Networks, Pattern Recognition, Fingerprint, Back-Propagation, E-Learning

Kouamo, S. and Tangha, C. (2016) Fingerprint Recognition with Artificial Neural Networks: Application to E-Learning. Journal of Intelligent Learning Systems and Applications, 8, 39-49. doi: 10.4236/jilsa.2016.82004.