Abstract
A new scheme for Arabic handwriting recognition by means of mat lab software is proposed. It can be seen as construction of neural networks that associate the hand writing Arabic text with the stored Arabic text in a specific data base are nearly equivalent. This result indicates that the new scheme have the potential to be robust in the presence of noisy data input.
Highlights
Summary
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have