The Department of Control and Systems Engineering at the University of Technology awards a master's degree in tagged research (recognition of camera-based sign language)
Granting the Department of Control and Systems Engineering at the University of Technology Masters for tagged research (recognize the camera-based sign language)
Vision _Based Sign Language Recognition
The student (Abdel-Wahab Abdel-Razzaq Abdel-Hussein) majored in (Mechatronics Engineering) on Wednesday, 7/2020 and on the conference hall in the department. The discussion committee consisted of:
1_ Prof.Dr. Ekhlas Hamid Karam / Chairman. 2_ Assis.Dr Omar Farouk Lotfi / member. 3_ prof. Ahmed Mazhar Hassan / member. 4_ Assist.Prof, Firas Abdul Razzaq Rahim / member and supervisor.
In this letter, a method was proposed to use camera theory and deep learning image processing algorithms and it consists of two parts, the first involves ASL character processing (sign language) represented by images taken from a real human hand (fixed and animated data set) captured from the camera, and the second part includes a study A comparison of two different models of CNN, in addition to that a practical system was implemented using a camera-based personal computer used for further verification using the MATLAB program.
The discussion was attended by the Assistant Head of the Department for Scientific Deputy and Higher Studies (Prof. Dr. Muhammad Yusef Hassan). .
