Investigation on the feasibility of various character features extracted for handwritten character recognition are comprehensively benchmarked and many variants classifiers using neural network technologies are described. Extensive coverage of preprocessing techniques are listed and illustrated. Neural network technologies in particular, the backpropagation neural network are extensively reviewed and studied in the context of learning problems in handwriting recognition. The use of post-processor techniques and multi-neural network architectures in character recognition are also presented.Master of Applied Scienc
Current technological developments spur the application of pattern recognition in various fields, su...
A proven strength of neural-network methods is their application to character recognition and docume...
A neural network is a machine designed tomodel the way in which the brain performs a particulartask....
Investigation on the feasibility of various character features extracted for handwritten character r...
Neural networks with algorithm back-propagation will be presented in this work. Theoretical backgrou...
Neural network is a branch of Artificial Intelligence that imitates the biological processing functi...
Abstract- In this paper, we present a new neural network based method for handwritten character reco...
An efficient method for increasing the generalization capacity of neural character recognition is pr...
Thesis deals with handwritten block letters and digits recognition using artificial neural networks....
Introduction The aim of this work is to assess the possibility of having on-line handwriting recogn...
Neural network is a branch of Artificial Intelligence that imitates the biological processing functi...
An off-line handwritten alphabetical character recognition system using Back Propagation neural netw...
A neural network is a machine designed to model the way in which the brain performs a particular tas...
Handwriting recognition has been an active and challenging area of research. Handwriting recognition...
In this paper, an attempt is made to develop off-line recognition strategies for the isolated Handwr...
Current technological developments spur the application of pattern recognition in various fields, su...
A proven strength of neural-network methods is their application to character recognition and docume...
A neural network is a machine designed tomodel the way in which the brain performs a particulartask....
Investigation on the feasibility of various character features extracted for handwritten character r...
Neural networks with algorithm back-propagation will be presented in this work. Theoretical backgrou...
Neural network is a branch of Artificial Intelligence that imitates the biological processing functi...
Abstract- In this paper, we present a new neural network based method for handwritten character reco...
An efficient method for increasing the generalization capacity of neural character recognition is pr...
Thesis deals with handwritten block letters and digits recognition using artificial neural networks....
Introduction The aim of this work is to assess the possibility of having on-line handwriting recogn...
Neural network is a branch of Artificial Intelligence that imitates the biological processing functi...
An off-line handwritten alphabetical character recognition system using Back Propagation neural netw...
A neural network is a machine designed to model the way in which the brain performs a particular tas...
Handwriting recognition has been an active and challenging area of research. Handwriting recognition...
In this paper, an attempt is made to develop off-line recognition strategies for the isolated Handwr...
Current technological developments spur the application of pattern recognition in various fields, su...
A proven strength of neural-network methods is their application to character recognition and docume...
A neural network is a machine designed tomodel the way in which the brain performs a particulartask....