Fatemeh Sadat Lesani - PhD Candidate, University of Qom, Qom, Iran
Faranak Fotouhi Ghazvini - Department of Computer Engineering and Information Technology, University of Qom
Rouhollah Dianat - Department of Computer Engineering and Information Technology, University of Qom

Today modern methods of communication with mobile phones are highly regarded. One way to communicate with mobile devices is using visual information from the user's lips. People who suffer from speech disability or individuals associated with the breathing problem who have lacked long-term ability to speak are unable to talk with their phone. Camera phone can provide the ability to track user’s lip motion using lip reading algorithms to recognize the words and sentences. However, one of the challenges when implementing these algorithms for mobile phone is the limited resources such as memory and CPU. In this paper, after examining the constraints and challenges in the implementation of algorithms in mobile phones, a review on lip reading classification algorithms has been done and its suitability is discussed for implementation on a mobile phone.Among classification algorithm, Support Vector Machine and Hidden Markov Model are more suitable of others.

Visual Speech Recognition, Classification, Mobile Phones, Lip Reading, Human Computer Interaction (HCI)