Handwriting recognition is very challenging field in recent year. This paper proposed a new architecture for handwriting word recognition system Based on Neural Nets NN Classifier. The proposed work depends on the handwriting word level and it does not need for character segmentation stage. An Arabic handwriting dataset AHDB has been used for training and testing the proposed system. Besides, the system achieved best recognition accuracy 95% based on several feature extraction methods and NN classifier.
Publication Date
10/1/2015
Publisher
International Journal of Applied Engineering Research
أ.م.د مصطفى سلام كاظم | Mustafa Salam Kadhm | 15480