International Conference on Recent Trends in Information Technology and Computer Science 2012 |
Foundation of Computer Science USA |
ICRTITCS2012 - Number 2 |
February 2013 |
Authors: Aasim Hasan, Vaishali Shinde, Santosh Gaikwad, Sunil Khillare |
d51d550f-8237-473b-b93a-6245c569a033 |
Aasim Hasan, Vaishali Shinde, Santosh Gaikwad, Sunil Khillare . Design and Development of Lip based Gesture Recognition using PCA and LDA. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 2 (February 2013), 20-23.
This paper examines the performance of feature extraction techniques which related to facial gesture recognition. The goal of this research is to present independent as well as comparative performances of most popular appearance based feature extraction technique that is Principal Component Analysis (PCA) and Linear Discriminate Analysis (LDA). Actually the primary goal of gestures is to identify human gestures and deploy them to convey information through machine. The automatic recognition of human faces presents a significant challenge to the pattern recognition research community. Human faces are very similar in structure with minor differences from person to person. Most approaches for automatic facial gesture analysis in face image sequences attempt to recognize a set of prototypic emotional facial expressions i. e. Happiness, sadness, fear, surprise, anger, disgust. This paper presents the novel approach that is Emotional Relational Gesture (ERG) for face recognition. The purpose of this study is to identify the gesture and recognize the person using lip element of human face. Using ERG approach we compares PCA and LDA techniques and observed that the LDA has more accurate results than PCA as regard in recognition rate.