Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Date Added: Jan 2015
In this paper, the authors important milestone towards automatic person authentication. In this paper, from a video source, video frames with pose free face is automatically sensed. Then mouth region is localized automatically. Then person identification is done using local binary pattern histogram of mouth region. Person identification performance while using neutral face, smile expression and visual speech are compared. A big custom dataset of 180 videos of 30 persons are used. The result gives the conclusion that for person identification visual speech performs well with F1 score of 0.95, followed by neutral face, 0.93 and then smile expression, 0.87.