Contemporary study on Face and FacialExpression Recognition System-A Review

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

Usha Mary Sharma¹  Kaustubh Bhattacharyya²  Uzzal Sharma¹ 

[1] Department of CSE and IT, Assam Don Bosco University;Department of ECE, Assam Don Bosco University

关键词: Face recognition;    Emotion recognition;    Principal Component Analysis (PCA);    Neural Networks (NN);    Hidden Markov Model (HMM);    Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM).;   

来源: Research & Reviews

【 摘 要 】

The primary goal of this paper is to make a comparative study on various approaches used to identify the person’s face and thereafter recognize their emotion. Among the various techniques implemented, Neural Networks, Hidden Markov Model and Dimensionality reduction techniques have received lot of attention. The face and facial emotion recognition system would require care and efforts in data acquisition, pre-processing, feature extraction, classification and performance evaluation. The main aim of this review paper is to study and compare the well-known techniques used at different stages to recognize the face and its emotion.

【 授权许可】

Unknown