Chatterjee, A., Mandal, S., Atiqur Rahaman, G.M. and Mohammad Arif, A.S. (2010) Fingerprint Identification and Verification System by Minutiae Extraction Using Artificial Neural Network.

has been cited by the following article:

• 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.