International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 118 - Number 2 |
Year of Publication: 2015 |
Authors: Soukaina Benchaou, M'barek Nasri, Ouafae El Melhaoui |
10.5120/20719-3064 |
Soukaina Benchaou, M'barek Nasri, Ouafae El Melhaoui . Neural Network for Numeral Recognition. International Journal of Computer Applications. 118, 2 ( May 2015), 23-26. DOI=10.5120/20719-3064
The present paper proposes a new approach of preprocessing for handwritten, printed and isolated numeral characters. The new approach reduces the size of the input image of each numeral by discarding the redundant information. This method reduces also the number of features of the attribute vector provided by the extraction features method. Numeral recognition is carried out in this work through k nearest neighbors and multilayer perceptron techniques. The simulations have obtained a good rate of recognition in fewer running time.