Volume : III, Issue : V, May - 2014
Self–training Method using First strokes in Handwritten Character Recognition
Magesh Kasthuri, Dr. V. Shanthi
Abstract :
An Artificial Intelligence based Neural system is successfulwhen it is trained properly. The basis of training a neuralnetwork is to prepare the system to recognize variouscombinations of possibilities of characters. From a larger picturethis is the key requirement for training a neural network. Butthere are underlying principles in training a neural network.In other words, training is not a simple record and processtechnique but also a technique which decides the working logic of the processing algorithm.This paper discusses some of the key features of training aneural network along with some key training methodologies forHandwritten character recognition system
Keywords :
Handwritten character recognition noise reduction pre–processingtechniques in character recognition pattern matching strokes fixed–language training neural networks Gabor filter
Article:
Download PDF
DOI : 10.36106/ijsr
Cite This Article:
Magesh Kasthuri, Dr.V.Shanthi Self-training Method using First strokes in Handwritten Character Recognition International Journal of Scientific Research, Vol.III, Issue. V, May 2014
Number of Downloads : 778
References :
Magesh Kasthuri, Dr.V.Shanthi Self-training Method using First strokes in Handwritten Character Recognition International Journal of Scientific Research, Vol.III, Issue. V, May 2014
Our Other Journals...
-
Indian Journal of
Applied Research Visit Website -
PARIPEX Indian Journal
of Research Visit Website -
Global Journal for
Research Analysis Visit Website