Temporal neural system applied to Arabic online characters recognition

Abstract EN

This work presents survey, implementation and test for a neural network: Time Delay Neural Network (TDNN), applied to on-line handwritten recognition characters.

In this work, we present a recognizer conception for on-line Arabic handwriting.

On-line handwriting recognition of Arabic script is a complex problem, since it is naturally both cursive and unconstrained.

This system permits to interpret a script represented by the pen trajectory.

This technique is used notably in the electronic tablets.

We will construct a data base with several scripters.

Afterwards, and before attacking the recognition phase, there is a constructional samples phase of Arabic characters acquired from an electronic tablet to digitize Noun Database.

Obtained scores shows an effectiveness of the proposed approach based on convolutional neural networks