limited Arabic Alphabet Symbols Based on Lips Movement

الملخص

In this research, the development of deep learning algorithms was relied

upon and employed in the field of computer vision for the purpose of

building symbols for the Arabic alphabet with a limited capacity to cover

specific requirements.

The network (CNN) is adopted for the purpose of tracking the movement

of the lips when pronouncing selected words in the Arabic language by

showing the borders of the lips (Lips land marks) and calculating the

distance between the lips to determine the state of the mouth (open /

closed) when forming a code for the selected words from the Arabic

language and according to work requirements Where a special binary

code is generated by tracking the movement of the lips, since the closed

mouth is zero and the open mouth is the one as a basis for building codes

for those movements.