Lip Movement Feature Detection and Classification Methods

Abstract

Computerized lip reading has been one of the most actively researched areas of computer vision in recent past because of its crime fighting potential and invariance to acoustic environment. However, several factors like fast speech, bad pronunciation, and poor illumination, movement of face, moustaches and beards make lip reading difficult. In present work, we propose a solution for automatic lip contour tracking and recognizing numbers 1-10 of English language spoken by speakers using the information available from lip movements. In this method first, we are detecting Face then in that ROI Lip detection. Lip movements as the only input and without using any speech recognition system in parallel. The approach used in this work is found to significantly solve the purpose of lip reading when size of database is small. In this paper also compare LBP and HOG feature with Support Vector Machine Classification. The system is use for the modern sign in PASSWORD systems.